Investigating Students' Acceptance of a Statistics Learning Platform Using Technology Acceptance Model

ERIC Educational Resources Information Center

Song, Yanjie; Kong, Siu-Cheung

2017-01-01

The study aims at investigating university students' acceptance of a statistics learning platform to support the learning of statistics in a blended learning context. Three kinds of digital resources, which are simulations, online videos, and online quizzes, were provided on the platform. Premised on the technology acceptance model, we adopted a…

What Determines Student Acceptance of Politically Controversial Scientific Conclusions?

ERIC Educational Resources Information Center

Walker, J. D.; Wassenberg, Deena; Franta, Gabriel; Cotner, Sehoya

2017-01-01

Certain scientific conclusions are controversial, in that they are rejected by a substantial proportion of nonscientists despite an overwhelming scientific consensus. Science educators are motivated to help students understand the evidence behind the scientific consensus on these matters and to move students' views into alignment with those held…

Learners' Epistemic Criteria for Good Scientific Models

ERIC Educational Resources Information Center

Pluta, William J.; Chinn, Clark A.; Duncan, Ravit Golan

2011-01-01

Epistemic criteria are the standards used to evaluate scientific products (e.g., models, evidence, arguments). In this study, we analyzed epistemic criteria for good models generated by 324 middle-school students. After evaluating a range of scientific models, but before extensive instruction or experience with model-based reasoning practices,…

Acceptance criteria for urban dispersion model evaluation

NASA Astrophysics Data System (ADS)

Hanna, Steven; Chang, Joseph

2012-05-01

The authors suggested acceptance criteria for rural dispersion models' performance measures in this journal in 2004. The current paper suggests modified values of acceptance criteria for urban applications and tests them with tracer data from four urban field experiments. For the arc-maximum concentrations, the fractional bias should have a magnitude <0.67 (i.e., the relative mean bias is less than a factor of 2); the normalized mean-square error should be <6 (i.e., the random scatter is less than about 2.4 times the mean); and the fraction of predictions that are within a factor of two of the observations (FAC2) should be >0.3. For all data paired in space, for which a threshold concentration must always be defined, the normalized absolute difference should be <0.50, when the threshold is three times the instrument's limit of quantification (LOQ). An overall criterion is then applied that the total set of acceptance criteria should be satisfied in at least half of the field experiments. These acceptance criteria are applied to evaluations of the US Department of Defense's Joint Effects Model (JEM) with tracer data from US urban field experiments in Salt Lake City (U2000), Oklahoma City (JU2003), and Manhattan (MSG05 and MID05). JEM includes the SCIPUFF dispersion model with the urban canopy option and the urban dispersion model (UDM) option. In each set of evaluations, three or four likely options are tested for meteorological inputs (e.g., a local building top wind speed, the closest National Weather Service airport observations, or outputs from numerical weather prediction models). It is found that, due to large natural variability in the urban data, there is not a large difference between the performance measures for the two model options and the three or four meteorological input options. The more detailed UDM and the state-of-the-art numerical weather models do provide a slight improvement over the other options. The proposed urban dispersion model acceptance

A toolbox and record for scientific models

NASA Technical Reports Server (NTRS)

Ellman, Thomas

1994-01-01

Computational science presents a host of challenges for the field of knowledge-based software design. Scientific computation models are difficult to construct. Models constructed by one scientist are easily misapplied by other scientists to problems for which they are not well-suited. Finally, models constructed by one scientist are difficult for others to modify or extend to handle new types of problems. Construction of scientific models actually involves much more than the mechanics of building a single computational model. In the course of developing a model, a scientist will often test a candidate model against experimental data or against a priori expectations. Test results often lead to revisions of the model and a consequent need for additional testing. During a single model development session, a scientist typically examines a whole series of alternative models, each using different simplifying assumptions or modeling techniques. A useful scientific software design tool must support these aspects of the model development process as well. In particular, it should propose and carry out tests of candidate models. It should analyze test results and identify models and parts of models that must be changed. It should determine what types of changes can potentially cure a given negative test result. It should organize candidate models, test data, and test results into a coherent record of the development process. Finally, it should exploit the development record for two purposes: (1) automatically determining the applicability of a scientific model to a given problem; (2) supporting revision of a scientific model to handle a new type of problem. Existing knowledge-based software design tools must be extended in order to provide these facilities.

Engineers' Non-Scientific Models in Technology Education

ERIC Educational Resources Information Center

Norstrom, Per

2013-01-01

Engineers commonly use rules, theories and models that lack scientific justification. Examples include rules of thumb based on experience, but also models based on obsolete science or folk theories. Centrifugal forces, heat and cold as substances, and sucking vacuum all belong to the latter group. These models contradict scientific knowledge, but…

Predicting User Acceptance of Collaborative Technologies: An Extension of the Technology Acceptance Model for E-Learning

ERIC Educational Resources Information Center

Cheung, Ronnie; Vogel, Doug

2013-01-01

Collaborative technologies support group work in project-based environments. In this study, we enhance the technology acceptance model to explain the factors that influence the acceptance of Google Applications for collaborative learning. The enhanced model was empirically evaluated using survey data collected from 136 students enrolled in a…

Evaluation of the Acceptance of Audience Response System by Corporations Using the Technology Acceptance Model

NASA Astrophysics Data System (ADS)

Chu, Hsing-Hui; Lu, Ta-Jung; Wann, Jong-Wen

The purpose of this research is to explore enterprises' acceptance of Audience Response System (ARS) using Technology Acceptance Model (TAM). The findings show that (1) IT characteristics and facilitating conditions could be external variables of TAM. (2) The degree of E-business has positive significant correlation with behavioral intention of employees. (3) TAM is a good model to predict and explain IT acceptance. (4) Demographic variables, industry and firm characteristics have no significant correlation with ARS acceptance. The results provide useful information to managers and ARS providers that (1) ARS providers should focus more on creating different usages to enhance interactivity and employees' using intention. (2) Managers should pay attention to build sound internal facilitating conditions for introducing IT. (3) According to the degree of E-business, managers should set up strategic stages of introducing IT. (4) Providers should increase product promotion and also leverage academic and government to promote ARS.

Test Driven Development of Scientific Models

NASA Technical Reports Server (NTRS)

Clune, Thomas L.

2012-01-01

Test-Driven Development (TDD) is a software development process that promises many advantages for developer productivity and has become widely accepted among professional software engineers. As the name suggests, TDD practitioners alternate between writing short automated tests and producing code that passes those tests. Although this overly simplified description will undoubtedly sound prohibitively burdensome to many uninitiated developers, the advent of powerful unit-testing frameworks greatly reduces the effort required to produce and routinely execute suites of tests. By testimony, many developers find TDD to be addicting after only a few days of exposure, and find it unthinkable to return to previous practices. Of course, scientific/technical software differs from other software categories in a number of important respects, but I nonetheless believe that TDD is quite applicable to the development of such software and has the potential to significantly improve programmer productivity and code quality within the scientific community. After a detailed introduction to TDD, I will present the experience within the Software Systems Support Office (SSSO) in applying the technique to various scientific applications. This discussion will emphasize the various direct and indirect benefits as well as some of the difficulties and limitations of the methodology. I will conclude with a brief description of pFUnit, a unit testing framework I co-developed to support test-driven development of parallel Fortran applications.

A toolbox and a record for scientific model development

NASA Technical Reports Server (NTRS)

Ellman, Thomas

1994-01-01

Scientific computation can benefit from software tools that facilitate construction of computational models, control the application of models, and aid in revising models to handle new situations. Existing environments for scientific programming provide only limited means of handling these tasks. This paper describes a two pronged approach for handling these tasks: (1) designing a 'Model Development Toolbox' that includes a basic set of model constructing operations; and (2) designing a 'Model Development Record' that is automatically generated during model construction. The record is subsequently exploited by tools that control the application of scientific models and revise models to handle new situations. Our two pronged approach is motivated by our belief that the model development toolbox and record should be highly interdependent. In particular, a suitable model development record can be constructed only when models are developed using a well defined set of operations. We expect this research to facilitate rapid development of new scientific computational models, to help ensure appropriate use of such models and to facilitate sharing of such models among working computational scientists. We are testing this approach by extending SIGMA, and existing knowledge-based scientific software design tool.

Scientific Writing: A Blended Instructional Model

ERIC Educational Resources Information Center

Clark, MaryAnn; Olson, Valerie

2010-01-01

Scientific writing is composed of a unique skill set and corresponding instructional strategies are critical to foster learning. In an age of technology, the blended instructional model provides the instrumental format for student mastery of the scientific writing competencies. In addition, the course management program affords opportunities for…

Scientific publications about DNA structure-function and PCR technique in Costa Rica: a historic view (1953-2003).

PubMed

Albertazzi, Federico J

2004-09-01

The spreading of knowledge depends on the access to the information and its immediate use. Models are useful to explain specific phenomena. The scientific community accepts some models in Biology after a period of time, once it has evidence to support it. The model of the structure and function of the DNA proposed by Watson & Crick (1953) was not the exception, since a few years later the DNA model was finally accepted. In Costa Rica, DNA function was first mentioned in 1970, in the magazine Biologia Tropical (Tropical Biology Magazine), more than 15 years after its first publication in a scientific journal. An opposite situation occurs with technical innovations. If the efficiency of a new scientific technique is proved in a compelling way, then the acceptance by the community comes swiftly. This was the case of the polymerase chain reaction, or PCR. The first PCR machine in Costa Rica arrived in 1991, only three years after its publication.

Constructing Scientific Arguments Using Evidence from Dynamic Computational Climate Models

NASA Astrophysics Data System (ADS)

Pallant, Amy; Lee, Hee-Sun

2015-04-01

Modeling and argumentation are two important scientific practices students need to develop throughout school years. In this paper, we investigated how middle and high school students ( N = 512) construct a scientific argument based on evidence from computational models with which they simulated climate change. We designed scientific argumentation tasks with three increasingly complex dynamic climate models. Each scientific argumentation task consisted of four parts: multiple-choice claim, openended explanation, five-point Likert scale uncertainty rating, and open-ended uncertainty rationale. We coded 1,294 scientific arguments in terms of a claim's consistency with current scientific consensus, whether explanations were model based or knowledge based and categorized the sources of uncertainty (personal vs. scientific). We used chi-square and ANOVA tests to identify significant patterns. Results indicate that (1) a majority of students incorporated models as evidence to support their claims, (2) most students used model output results shown on graphs to confirm their claim rather than to explain simulated molecular processes, (3) students' dependence on model results and their uncertainty rating diminished as the dynamic climate models became more and more complex, (4) some students' misconceptions interfered with observing and interpreting model results or simulated processes, and (5) students' uncertainty sources reflected more frequently on their assessment of personal knowledge or abilities related to the tasks than on their critical examination of scientific evidence resulting from models. These findings have implications for teaching and research related to the integration of scientific argumentation and modeling practices to address complex Earth systems.

The Biopsychosocial Model 25 Years Later: Principles, Practice, and Scientific Inquiry

PubMed Central

Borrell-Carrió, Francesc; Suchman, Anthony L.; Epstein, Ronald M.

2004-01-01

The biopsychosocial model is both a philosophy of clinical care and a practical clinical guide. Philosophically, it is a way of understanding how suffering, disease, and illness are affected by multiple levels of organization, from the societal to the molecular. At the practical level, it is a way of understanding the patient’s subjective experience as an essential contributor to accurate diagnosis, health outcomes, and humane care. In this article, we defend the biopsychosocial model as a necessary contribution to the scientific clinical method, while suggesting 3 clarifications: (1) the relationship between mental and physical aspects of health is complex—subjective experience depends on but is not reducible to laws of physiology; (2) models of circular causality must be tempered by linear approximations when considering treatment options; and (3) promoting a more participatory clinician-patient relationship is in keeping with current Western cultural tendencies, but may not be universally accepted. We propose a biopsychosocial-oriented clinical practice whose pillars include (1) self-awareness; (2) active cultivation of trust; (3) an emotional style characterized by empathic curiosity; (4) self-calibration as a way to reduce bias; (5) educating the emotions to assist with diagnosis and forming therapeutic relationships; (6) using informed intuition; and (7) communicating clinical evidence to foster dialogue, not just the mechanical application of protocol. In conclusion, the value of the biopsychosocial model has not been in the discovery of new scientific laws, as the term “new paradigm” would suggest, but rather in guiding parsimonious application of medical knowledge to the needs of each patient. PMID:15576544

Axelrod model: accepting or discussing

NASA Astrophysics Data System (ADS)

Dybiec, Bartlomiej; Mitarai, Namiko; Sneppen, Kim

2012-10-01

Agents building social systems are characterized by complex states, and interactions among individuals can align their opinions. The Axelrod model describes how local interactions can result in emergence of cultural domains. We propose two variants of the Axelrod model where local consensus is reached either by listening and accepting one of neighbors' opinion or two agents discuss their opinion and achieve an agreement with mixed opinions. We show that the local agreement rule affects the character of the transition between the single culture and the multiculture regimes.

Effect of levels of inquiry model of science teaching on scientific literacy domain attitudes

NASA Astrophysics Data System (ADS)

Achmad, Maulana; Suhandi, Andi

2017-05-01

The aim of this research was to obtain an overview of the increase scientific literacy attitudes domain in high school students as the effects of the Levels of Inquiry (LOI) model of science teaching. This research using a quasi-experimental methods and randomizedpretest-posttest control group design. The subject of this research was students of grade X in a senior high school in Purwakarta and it consists of two classes who were divided into experimental class (30 students) and control class (30 students). While experimental class was taught LOIand control class was taught Interactive Lecture Demonstration (ILD). Data were collected using an attitude scale scientific literacy test which is based on the Likert scale. Data were analyzed using normality test, homogeneity test, and t-test to the value of N-gain attitude of scientific literacy scale test. The result of percentage average N-gain experimental class and control are 49 and 31 that classified into medium improvement category. Based on the results of hypothesis testing on the N-gain value obtained by the Sig.(One-tailed) 0.000 < 0.050, it means that H1 was accepted. The results showed that scientific literacy domain attitude of students who got learning by LOI is higher than students who got learning by ILD. It can be concluded that the effect of LOI is better to improve scientific literacy domain attitudes significantly.

A generative model for scientific concept hierarchies.

PubMed

Datta, Srayan; Adar, Eytan

2018-01-01

In many scientific disciplines, each new 'product' of research (method, finding, artifact, etc.) is often built upon previous findings-leading to extension and branching of scientific concepts over time. We aim to understand the evolution of scientific concepts by placing them in phylogenetic hierarchies where scientific keyphrases from a large, longitudinal academic corpora are used as a proxy of scientific concepts. These hierarchies exhibit various important properties, including power-law degree distribution, power-law component size distribution, existence of a giant component and less probability of extending an older concept. We present a generative model based on preferential attachment to simulate the graphical and temporal properties of these hierarchies which helps us understand the underlying process behind scientific concept evolution and may be useful in simulating and predicting scientific evolution.

A generative model for scientific concept hierarchies

PubMed Central

Adar, Eytan

2018-01-01

In many scientific disciplines, each new ‘product’ of research (method, finding, artifact, etc.) is often built upon previous findings–leading to extension and branching of scientific concepts over time. We aim to understand the evolution of scientific concepts by placing them in phylogenetic hierarchies where scientific keyphrases from a large, longitudinal academic corpora are used as a proxy of scientific concepts. These hierarchies exhibit various important properties, including power-law degree distribution, power-law component size distribution, existence of a giant component and less probability of extending an older concept. We present a generative model based on preferential attachment to simulate the graphical and temporal properties of these hierarchies which helps us understand the underlying process behind scientific concept evolution and may be useful in simulating and predicting scientific evolution. PMID:29474409

Design Approaches to Support Preservice Teachers in Scientific Modeling

NASA Astrophysics Data System (ADS)

Kenyon, Lisa; Davis, Elizabeth A.; Hug, Barbara

2011-02-01

Engaging children in scientific practices is hard for beginning teachers. One such scientific practice with which beginning teachers may have limited experience is scientific modeling. We have iteratively designed preservice teacher learning experiences and materials intended to help teachers achieve learning goals associated with scientific modeling. Our work has taken place across multiple years at three university sites, with preservice teachers focused on early childhood, elementary, and middle school teaching. Based on results from our empirical studies supporting these design decisions, we discuss design features of our modeling instruction in each iteration. Our results suggest some successes in supporting preservice teachers in engaging students in modeling practice. We propose design principles that can guide science teacher educators in incorporating modeling in teacher education.

P-Care BPJS Acceptance Model in Primary Health Centers.

PubMed

Markam, Hosizah

2017-01-01

Electronic Medical Records (EMR) are increasingly adopted in healthcare facilities. Recently, implementation failure of electronic information systems is known to be caused by not only the quality of technical aspects, but also the user's behavior. It is known as applying the Technology Acceptance Model (TAM). This research aimed to analyze the acceptance model of p-care BPJS in the primary health centers. A total sample of 30 p-care BPJS users was drawn by multistage random sampling in which of these 30 primary health centers participated. Data analysis used both descriptive and inferential statistics. In the phase of structural model, it indicated that p-care BPJS acceptance model in the primary health centers was formed by Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) through Attitude towards use of p-care BPJS and Behavioral Intention to use p-care BPJS.

Technological Diffusion within Educational Institutions: Applying the Technology Acceptance Model.

ERIC Educational Resources Information Center

Wolski, Stacy; Jackson, Sally

Expectancy models of behavior such as the Theory of Reasoned Action (TRA) and the Technology Acceptance Model (TAM) offer guidelines that aid efforts to facilitate use of new technology. These models remind us that both acceptance of and resistance to technology use are grounded in beliefs and norms regarding the technology. Although TAM is widely…

Applying the Technology Acceptance Model and flow theory to Cyworld user behavior: implication of the Web2.0 user acceptance.

PubMed

Shin, Dong-Hee; Kim, Won-Yong; Kim, Won-Young

2008-06-01

This study explores attitudinal and behavioral patterns when using Cyworld by adopting an expanded Technology Acceptance Model (TAM). A model for Cyworld acceptance is used to examine how various factors modified from the TAM influence acceptance and its antecedents. This model is examined through an empirical study involving Cyworld users using structural equation modeling techniques. The model shows reasonably good measurement properties and the constructs are validated. The results not only confirm the model but also reveal general factors applicable to Web2.0. A set of constructs in the model can be the Web2.0-specific factors, playing as enhancing factor to attitudes and intention.

Scientific and non-scientific challenges for Operational Earthquake Forecasting

NASA Astrophysics Data System (ADS)

Marzocchi, W.

2015-12-01

Tracking the time evolution of seismic hazard in time windows shorter than the usual 50-years of long-term hazard models may offer additional opportunities to reduce the seismic risk. This is the target of operational earthquake forecasting (OEF). During the OEF development in Italy we identify several challenges that range from pure science to the more practical interface of science with society. From a scientific point of view, although earthquake clustering is the clearest empirical evidence about earthquake occurrence, and OEF clustering models are the most (successfully) tested hazard models in seismology, we note that some seismologists are still reluctant to accept their scientific reliability. After exploring the motivations of these scientific doubts, we also look into an issue that is often overlooked in this discussion, i.e., in any kind of hazard analysis, we do not use a model because it is the true one, but because it is the better than anything else we can think of. The non-scientific aspects are mostly related to the fact that OEF usually provides weekly probabilities of large eartquakes smaller than 1%. These probabilities are considered by some seismologists too small to be of interest or useful. However, in a recent collaboration with engineers we show that such earthquake probabilities may lead to intolerable individual risk of death. Interestingly, this debate calls for a better definition of the still fuzzy boundaries among the different expertise required for the whole risk mitigation process. The last and probably more pressing challenge is related to the communication to the public. In fact, a wrong message could be useless or even counterproductive. Here we show some progresses that we have made in this field working with communication experts in Italy.

Common Characteristics of Models in Present-Day Scientific Practice

ERIC Educational Resources Information Center

Van Der Valk, Ton; Van Driel, Jan H.; De Vos, Wobbe

2007-01-01

Teaching the use of models in scientific research requires a description, in general terms, of how scientists actually use models in their research activities. This paper aims to arrive at defining common characteristics of models that are used in present-day scientific research. Initially, a list of common features of models and modelling, based…

Technology Acceptance Model for Wireless Internet.

ERIC Educational Resources Information Center

Lu, June; Yu, Chun-Sheng; Liu, Chang; Yao, James E.

2003-01-01

Develops a technology acceptance model (TAM) for wireless Internet via mobile devices (WIMD) and proposes that constructs, such as individual differences, technology complexity, facilitating conditions, social influences, and wireless trust environment determine user-perceived short and long-term usefulness, and ease of using WIMD. Twelve…

Literature-Based Scientific Learning: A Collaboration Model

ERIC Educational Resources Information Center

Elrod, Susan L.; Somerville, Mary M.

2007-01-01

Amidst exponential growth of knowledge, student insights into the knowledge creation practices of the scientific community can be furthered by science faculty collaborations with university librarians. The Literature-Based Scientific Learning model advances undergraduates' disciplinary mastery and information literacy through experience with…

Scientific Inquiry: A Model for Online Searching.

ERIC Educational Resources Information Center

Harter, Stephen P.

1984-01-01

Explores scientific inquiry as philosophical and behavioral model for online search specialist and information retrieval process. Nature of scientific research is described and online analogs to research concepts of variable, hypothesis formulation and testing, operational definition, validity, reliability, assumption, and cyclical nature of…

The Large-Scale Structure of Scientific Method

ERIC Educational Resources Information Center

Kosso, Peter

2009-01-01

The standard textbook description of the nature of science describes the proposal, testing, and acceptance of a theoretical idea almost entirely in isolation from other theories. The resulting model of science is a kind of piecemeal empiricism that misses the important network structure of scientific knowledge. Only the large-scale description of…

Mental models as indicators of scientific thinking

NASA Astrophysics Data System (ADS)

Derosa, Donald Anthony

One goal of science education reform is student attainment of scientific literacy. Therefore, it is imperative for science educators to identify its salient elements. A dimension of scientific literacy that warrants careful consideration is scientific thinking and effective ways to foster scientific thinking among students. This study examined the use of mental models as evidence of scientific thinking in the context of two instructional approaches, transmissional and constructivist. Types of mental models, frequency of explanative information, and scores on problem solving transfer questions were measured and compared among subjects in each instructional context. Methods. Subjects consisted of sophomore biology students enrolled in general biology courses at three public high schools. The Group Assessment of Logical Thinking instrument was used to identify two equivalent groups with an N of 65. Each group was taught the molecular basis of sickle cell anemia and the principles of hemoglobin gel electrophoresis using one of the two instructional approaches at their schools during five instructional periods over the course of one week. Laboratory equipment and materials were provided by Boston University School of Medicine's MobileLab program. Following the instructional periods, each subject was asked to think aloud while responding to four problem solving transfer questions. Each response was audiotaped and videotaped. The interviews were transcribed and coded to identify types of mental models and explanative information. Subjects' answers to the problem solving transfer questions were scored using a rubric. Results. Students taught in a constructivist context tended to use more complete mental models than students taught in a transmissional context. Fifty-two percent of constructivist subjects and forty-four percent of transmissional subjects demonstrated evidence of relevant mental models. Overall fifty-two percent of the subjects expressed naive mental models

Constructing Scientific Arguments Using Evidence from Dynamic Computational Climate Models

ERIC Educational Resources Information Center

Pallant, Amy; Lee, Hee-Sun

2015-01-01

Modeling and argumentation are two important scientific practices students need to develop throughout school years. In this paper, we investigated how middle and high school students (N = 512) construct a scientific argument based on evidence from computational models with which they simulated climate change. We designed scientific argumentation…

Using a modified technology acceptance model in hospitals.

PubMed

Aggelidis, Vassilios P; Chatzoglou, Prodromos D

2009-02-01

The use of information technology in the health care sector and especially in hospitals offers great potential for improving the quality of services provided and the efficiency and effectiveness of the personnel, but also for reducing the organizational expenses. However, the main question that arises according to the literature is whether hospital personnel are willing to use state of the art information technology while performing their tasks. This study attempts to address this issue by developing and testing a modified technology acceptance model taking into consideration other relevant models found in the literature. The original TAM has been extended to include some exogenous variables in order to examine HIS acceptance by Greek hospital personnel. Correlation, explanatory and confirmation factor analysis was performed to test the reliability and validity of the measurement model. The structural equation modeling technique has also been used to evaluate the causal model. The results indicate that perceived usefulness, ease of use, social influence, attitude, facilitating conditions and self-efficacy significantly affect hospital personnel behavioral intention. Training has a strong indirect impact on behavioral intention through the mediators of facilitating condition and ease of use. Furthermore, the existence of significant positive effects between self-efficacy and social influence, perceived usefulness and anxiety, and facilitating conditions and social influence is also supported. The proposed model can explain 87% of the variance of behavioral intention indicating that the core constructs of the technology acceptance models have a strong and statistically significant influence on hospital personnel usage intention.

Investigating the Relationship between Students' Views of Scientific Models and Their Development of Models

ERIC Educational Resources Information Center

Cheng, Meng-Fei; Lin, Jang-Long

2015-01-01

Understanding the nature of models and engaging in modeling practice have been emphasized in science education. However, few studies discuss the relationships between students' views of scientific models and their ability to develop those models. Hence, this study explores the relationship between students' views of scientific models and their…

Acceptance model of a Hospital Information System.

PubMed

Handayani, P W; Hidayanto, A N; Pinem, A A; Hapsari, I C; Sandhyaduhita, P I; Budi, I

2017-03-01

The purpose of this study is to develop a model of Hospital Information System (HIS) user acceptance focusing on human, technological, and organizational characteristics for supporting government eHealth programs. This model was then tested to see which hospital type in Indonesia would benefit from the model to resolve problems related to HIS user acceptance. This study used qualitative and quantitative approaches with case studies at four privately owned hospitals and three government-owned hospitals, which are general hospitals in Indonesia. The respondents involved in this study are low-level and mid-level hospital management officers, doctors, nurses, and administrative staff who work at medical record, inpatient, outpatient, emergency, pharmacy, and information technology units. Data was processed using Structural Equation Modeling (SEM) and AMOS 21.0. The study concludes that non-technological factors, such as human characteristics (i.e. compatibility, information security expectancy, and self-efficacy), and organizational characteristics (i.e. management support, facilitating conditions, and user involvement) which have level of significance of p<0.05, significantly influenced users' opinions of both the ease of use and the benefits of the HIS. This study found that different factors may affect the acceptance of each user in each type of hospital regarding the use of HIS. Finally, this model is best suited for government-owned hospitals. Based on the results of this study, hospital management and IT developers should have more understanding on the non-technological factors to better plan for HIS implementation. Support from management is critical to the sustainability of HIS implementation to ensure HIS is easy to use and provides benefits to the users as well as hospitals. Finally, this study could assist hospital management and IT developers, as well as researchers, to understand the obstacles faced by hospitals in implementing HIS. Copyright © 2016

User Acceptance of Social Learning Systems in Higher Education: An Application of the Extended Technology Acceptance Model

ERIC Educational Resources Information Center

Akman, Ibrahim; Turhan, Cigdem

2017-01-01

This study aims to explore the users' behaviour and acceptance of social media for learning in higher educational institutions with the help of the extended Technology Acceptance Model (TAM). TAM has been extended to investigate how ethical and security awareness of users affect the actual usage of social learning applications. For this purpose, a…

Acceptance and Commitment Therapy as a Unified Model of Behavior Change

ERIC Educational Resources Information Center

Hayes, Steven C.; Pistorello, Jacqueline; Levin, Michael E.

2012-01-01

The present article summarizes the assumptions, model, techniques, evidence, and diversity/social justice commitments of Acceptance and Commitment Therapy (ACT). ACT focused on six processes (acceptance, defusion, self, now, values, and action) that bear on a single overall target (psychological flexibility). The ACT model of behavior change has…

Day of the week effect in paper submission/acceptance/rejection to/in/by peer review journals. II. An ARCH econometric-like modeling

NASA Astrophysics Data System (ADS)

Ausloos, Marcel; Nedic, Olgica; Dekanski, Aleksandar; Mrowinski, Maciej J.; Fronczak, Piotr; Fronczak, Agata

2017-02-01

This paper aims at providing a statistical model for the preferred behavior of authors submitting a paper to a scientific journal. The electronic submission of (about 600) papers to the Journal of the Serbian Chemical Society has been recorded for every day from Jan. 01, 2013 till Dec. 31, 2014, together with the acceptance or rejection paper fate. Seasonal effects and editor roles (through desk rejection and subfield editors) are examined. An ARCH-like econometric model is derived stressing the main determinants of the favorite day-of-week process.

Building the Scientific Modeling Assistant: An interactive environment for specialized software design

NASA Technical Reports Server (NTRS)

Keller, Richard M.

1991-01-01

The construction of scientific software models is an integral part of doing science, both within NASA and within the scientific community at large. Typically, model-building is a time-intensive and painstaking process, involving the design of very large, complex computer programs. Despite the considerable expenditure of resources involved, completed scientific models cannot easily be distributed and shared with the larger scientific community due to the low-level, idiosyncratic nature of the implemented code. To address this problem, we have initiated a research project aimed at constructing a software tool called the Scientific Modeling Assistant. This tool provides automated assistance to the scientist in developing, using, and sharing software models. We describe the Scientific Modeling Assistant, and also touch on some human-machine interaction issues relevant to building a successful tool of this type.

Development and application of an acceptance testing model

NASA Technical Reports Server (NTRS)

Pendley, Rex D.; Noonan, Caroline H.; Hall, Kenneth R.

1992-01-01

The process of acceptance testing large software systems for NASA has been analyzed, and an empirical planning model of the process constructed. This model gives managers accurate predictions of the staffing needed, the productivity of a test team, and the rate at which the system will pass. Applying the model to a new system shows a high level of agreement between the model and actual performance. The model also gives managers an objective measure of process improvement.

A Causal Model of Teacher Acceptance of Technology

ERIC Educational Resources Information Center

Chang, Jui-Ling; Lieu, Pang-Tien; Liang, Jung-Hui; Liu, Hsiang-Te; Wong, Seng-lee

2012-01-01

This study proposes a causal model for investigating teacher acceptance of technology. We received 258 effective replies from teachers at public and private universities in Taiwan. A questionnaire survey was utilized to test the proposed model. The Lisrel was applied to test the proposed hypotheses. The result shows that computer self-efficacy has…

Taming theory with thought experiments: Understanding and scientific progress.

PubMed

Stuart, Michael T

2016-08-01

I claim that one way thought experiments contribute to scientific progress is by increasing scientific understanding. Understanding does not have a currently accepted characterization in the philosophical literature, but I argue that we already have ways to test for it. For instance, current pedagogical practice often requires that students demonstrate being in either or both of the following two states: 1) Having grasped the meaning of some relevant theory, concept, law or model, 2) Being able to apply that theory, concept, law or model fruitfully to new instances. Three thought experiments are presented which have been important historically in helping us pass these tests, and two others that cause us to fail. Then I use this operationalization of understanding to clarify the relationships between scientific thought experiments, the understanding they produce, and the progress they enable. I conclude that while no specific instance of understanding (thus conceived) is necessary for scientific progress, understanding in general is. Copyright © 2016 Elsevier Ltd. All rights reserved.

Theory development in health care informatics: Information and communication technology acceptance model (ICTAM) improves the explanatory and predictive power of technology acceptance models.

PubMed

An, Ji-Young

2006-01-01

The purpose of this web-based study was to explain and predict consumers' acceptance and usage behavior of Internet health information and services. Toward this goal, the Information and Communication Technology Acceptance Model (ICTAM) was developed and tested. Individuals who received a flyer through the LISTSERV of HealthGuide were eligible to participate. The study population was eighteen years old and older who had used Internet health information and services for a minimum of 6 months. For the analyses, SPSS (version 13.0) and AMOS (version 5.0) were employed. More than half of the respondents were women (n = 110, 55%). The average age of the respondents was 35.16 years (S.D. = 10.07). A majority reported at least some college education (n = 126, 63%). All of the observed factors accounted for 75.53% of the total variance explained. The fit indices of the structural model were within an acceptable range: chi2/df = 2.38 (chi2 = 1786.31, df = 752); GFI = .71; RMSEA = .08; CFI = .86; NFI = .78. The results of this study provide empirical support for the continued development of ICTAM in the area of health consumers' information and communication technology acceptance.

Identifying Ghanaian Pre-Service Teachers' Readiness for Computer Use: A Technology Acceptance Model Approach

ERIC Educational Resources Information Center

Gyamfi, Stephen Adu

2016-01-01

This study extends the technology acceptance model to identify factors that influence technology acceptance among pre-service teachers in Ghana. Data from 380 usable questionnaires were tested against the research model. Utilising the extended technology acceptance model (TAM) as a research framework, the study found that: pre-service teachers'…

Predicting nurses' use of healthcare technology using the technology acceptance model: an integrative review.

PubMed

Strudwick, Gillian

2015-05-01

The benefits of healthcare technologies can only be attained if nurses accept and intend to fully use them. One of the most common models utilized to understand user acceptance of technology is the Technology Acceptance Model. This model and modified versions of it have only recently been applied in the healthcare literature among nurse participants. An integrative literature review was conducted on this topic. Ovid/MEDLINE, PubMed, Google Scholar, and CINAHL were searched yielding a total of 982 references. Upon eliminating duplicates and applying the inclusion and exclusion criteria, the review included a total of four dissertations, three symposium proceedings, and 13 peer-reviewed journal articles. These documents were appraised and reviewed. The results show that a modified Technology Acceptance Model with added variables could provide a better explanation of nurses' acceptance of healthcare technology. These added variables to modified versions of the Technology Acceptance Model are discussed, and the studies' methodologies are critiqued. Limitations of the studies included in the integrative review are also examined.

A proposed model of factors influencing hydrogen fuel cell vehicle acceptance

NASA Astrophysics Data System (ADS)

Imanina, N. H. Noor; Kwe Lu, Tan; Fadhilah, A. R.

2016-03-01

Issues such as environmental problem and energy insecurity keep worsening as a result of energy use from household to huge industries including automotive industry. Recently, a new type of zero emission vehicle, hydrogen fuel cell vehicle (HFCV) has received attention. Although there are argues on the feasibility of hydrogen as the future fuel, there is another important issue, which is the acceptance of HFCV. The study of technology acceptance in the early stage is a vital key for a successful introduction and penetration of a technology. This paper proposes a model of factors influencing green vehicle acceptance, specifically HFCV. This model is built base on two technology acceptance theories and other empirical studies of vehicle acceptance. It aims to provide a base for finding the key factors influencing new sustainable energy fuelled vehicle, HFCV acceptance which is achieved by explaining intention to accept HFCV. Intention is influenced by attitude, subjective norm and perceived behavioural control from Theory of Planned Behaviour and personal norm from Norm Activation Theory. In the framework, attitude is influenced by perceptions of benefits and risks, and social trust. Perceived behavioural control is influenced by government interventions. Personal norm is influenced by outcome efficacy and problem awareness.

Consumers' acceptance of medicinal herbs: An application of the technology acceptance model (TAM).

PubMed

Jokar, Nargesh Khatun; Noorhosseini, Seyyed Ali; Allahyari, Mohammad Sadegh; Damalas, Christos A

2017-07-31

The shift in consumers' preferences from synthetic to 'natural' products has led to a resurgence of interest in medicinal plants, particularly in developing countries. However, research data about consumers' preferences for particular products is hard to find. The main objective of this study was to contribute to the general understanding of consumers' intention for selecting medicinal herbs for consumption. Factors underpinning consumers' acceptance of medicinal herbs were studied with the technology acceptance model (TAM) in Rasht City of Iran using a structured questionnaire. Most respondents had low to moderate familiarity with consumption of medicinal herbs. However, about half of the respondents (47.5%) showed a high level of acceptance of medicinal herbs. Herbs like spearmint (Mentha spicata L.), spinach (Spinacia oleracea L.), basil (Ocimum basilicum L.), Damask rose (Rosa × damascena Herrm.), saffron (Crocus sativus L.), cinnamon (Cinnamomum verum J.Presl), flixweed [Descurainia sophia (L.) Webb ex Prantl], red feathers (Echium amoenum Fisch. & C.A.Mey.), and green tea [Camellia sinensis (L.) Kuntze] had the highest consumption rate among the majority (over 75%) of citizens of Rasht. The highest rate of perceived usefulness of medicinal herbs was related to their perceived role in healing diseases. The variable of importance of use of medicinal herbs had the strongest direct effect and the variables of perceived usefulness and attitude towards use had the second and third strongest direct effect on the acceptance of medicinal herbs' use at p < 0.01. Findings provide a useful evaluation of the acceptance of medicinal herbs and may serve as a benchmark for future research and evaluation concerning the use of medicinal herbs over time. For plant producers, more effective and targeted crop development should be encouraged, whereas for retailers better marketing and delivery strategies should be sought. Copyright © 2017 Elsevier Ireland Ltd. All rights

Emphasizing history in communicating scientific debates

NASA Astrophysics Data System (ADS)

Sherwood, S. C.

2010-12-01

Communication to the public of the reality of anthropogenic climate change has been less successful than many expect. The scientists themselves, the media, special interest groups, or the complexity of modern society are often blamed. However a look at past scientific paradigm shifts, in particular the Copernican revolution and the discovery of relativity, shows close parallels with the modern situation. Common aspects include the gradual formation of a scientific consensus in advance of the public; a politically partisan backlash against the new theory that, paradoxically, occurs after the arrival of conclusive supporting evidence; the prevalence of convincing but invalid pseudo-scientific counterarguments; the general failure of "debates" to increase public acceptance of the scientists' position; and, in the case of the heliocentric solar system, a very long time scale to final public acceptance (> 100 years). Greater emphasis on the lessons from such historical parallels, and on the success so far of consensus predictions of global warming made up to and including the first IPCC report in 1990, might be one useful way of enhancing the public's trust in science and scientists and thereby accelerate acceptance of uncomfortable scientific findings.

An evidence-based patient-centered method makes the biopsychosocial model scientific.

PubMed

Smith, Robert C; Fortin, Auguste H; Dwamena, Francesca; Frankel, Richard M

2013-06-01

To review the scientific status of the biopsychosocial (BPS) model and to propose a way to improve it. Engel's BPS model added patients' psychological and social health concerns to the highly successful biomedical model. He proposed that the BPS model could make medicine more scientific, but its use in education, clinical care, and, especially, research remains minimal. Many aver correctly that the present model cannot be defined in a consistent way for the individual patient, making it untestable and non-scientific. This stems from not obtaining relevant BPS data systematically, where one interviewer obtains the same information another would. Recent research by two of the authors has produced similar patient-centered interviewing methods that are repeatable and elicit just the relevant patient information needed to define the model at each visit. We propose that the field adopt these evidence-based methods as the standard for identifying the BPS model. Identifying a scientific BPS model in each patient with an agreed-upon, evidence-based patient-centered interviewing method can produce a quantum leap ahead in both research and teaching. A scientific BPS model can give us more confidence in being humanistic. In research, we can conduct more rigorous studies to inform better practices. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Assessing user acceptance towards automated and conventional sink use for hand decontamination using the technology acceptance model.

PubMed

Dawson, Carolyn H; Mackrill, Jamie B; Cain, Rebecca

2017-12-01

Hand hygiene (HH) prevents harmful contaminants spreading in settings including domestic, health care and food handling. Strategies to improve HH range from behavioural techniques through to automated sinks that ensure hand surface cleaning. This study aimed to assess user experience and acceptance towards a new automated sink, compared to a normal sink. An adapted version of the technology acceptance model (TAM) assessed each mode of handwashing. A within-subjects design enabled N = 46 participants to evaluate both sinks. Perceived Ease of Use and Satisfaction of Use were significantly lower for the automated sink, compared to the conventional sink (p < 0.005). Across the remaining TAM factors, there was no significant difference. Participants suggested design features including jet strength, water temperature and device affordance may improve HH technology. We provide recommendations for future HH technology development to contribute a positive user experience, relevant to technology developers, ergonomists and those involved in HH across all sectors. Practitioner Summary: The need to facilitate timely, effective hand hygiene to prevent illness has led to a rise in automated handwashing systems across different contexts. User acceptance is a key factor in system uptake. This paper applies the technology acceptance model as a means to explore and optimise the design of such systems.

A Simple Exercise Reveals the Way Students Think about Scientific Modeling

ERIC Educational Resources Information Center

Ruebush, Laura; Sulikowski, Michelle; North, Simon

2009-01-01

Scientific modeling is an integral part of contemporary science, yet many students have little understanding of how models are developed, validated, and used to predict and explain phenomena. A simple modeling exercise led to significant gains in understanding key attributes of scientific modeling while revealing some stubborn misconceptions.…

Examining Engineering & Technology Students' Acceptance of Network Virtualization Technology Using the Technology Acceptance Model

ERIC Educational Resources Information Center

Yousif, Wael K.

2010-01-01

This causal and correlational study was designed to extend the Technology Acceptance Model (TAM) and to test its applicability to Valencia Community College (VCC) Engineering and Technology students as the target user group when investigating the factors influencing their decision to adopt and to utilize VMware as the target technology. In…

A New Model for Inquiry: Is the Scientific Method Dead?

ERIC Educational Resources Information Center

Harwood, William S.

2004-01-01

There has been renewed discussion of the scientific method, with many voices arguing that it presents a very limited or even wholly incorrect image of the way science is really done. At the same time, the idea of a scientific method is pervasive. This article identifies the scientific method as a simple model for the process of scientific inquiry.…

The Earth's Shape and Movements: Teachers' Perception of the Relations Between Daily Observation and Scientific Models

NASA Astrophysics Data System (ADS)

Ferreira, Flávia Polati; Leite, Cristina

2015-07-01

The Earth’s shape and movements are some of the most common issues in official documents and research studies of astronomy education. Many didactic proposals suggest these issues within observational astronomy. Therefore, we present in this paper some of the main results of a research study of the teachers’ perception of the relations between the knowledge from daily observation and scientific models currently accepted about the “earth’s shape and movements”. Data were obtained in application of the didactic proposal during a teacher training course for teachers from São Paulo, have been constructed with the dynamics “Three Pedagogical Moments” and guided by some of the central ideas of the educator Paulo Freire. The results indicate that a small proportion of teachers seem to understand some of the relations of “apparent contradictions” and “limitations” with the concepts of spatiality, and many of them argued based only on vague phrases or "buzzwords", unconnected to the problem explored. The difficulties of teachers to relate elements of daily observation with scientific models seem to indicate a necessity to approach some these aspects with the astronomical knowledge in the teacher training courses.

Test Driven Development of Scientific Models

NASA Technical Reports Server (NTRS)

Clune, Thomas L.

2014-01-01

Test-Driven Development (TDD), a software development process that promises many advantages for developer productivity and software reliability, has become widely accepted among professional software engineers. As the name suggests, TDD practitioners alternate between writing short automated tests and producing code that passes those tests. Although this overly simplified description will undoubtedly sound prohibitively burdensome to many uninitiated developers, the advent of powerful unit-testing frameworks greatly reduces the effort required to produce and routinely execute suites of tests. By testimony, many developers find TDD to be addicting after only a few days of exposure, and find it unthinkable to return to previous practices.After a brief overview of the TDD process and my experience in applying the methodology for development activities at Goddard, I will delve more deeply into some of the challenges that are posed by numerical and scientific software as well as tools and implementation approaches that should address those challenges.

US EPA - A*Star Partnership - Accelerating the Acceptance of ...

EPA Pesticide Factsheets

The path for incorporating new alternative methods and technologies into quantitative chemical risk assessment poses a diverse set of scientific challenges. Some of these challenges include development of relevant and predictive test systems and computational models to integrate and extrapolate experimental data, and rapid characterization and acceptance of these systems and models. The series of presentations will highlight a collaborative effort between the U.S. Environmental Protection Agency (EPA) and the Agency for Science, Technology and Research (A*STAR) that is focused on developing and applying experimental and computational models for predicting chemical-induced liver and kidney toxicity, brain angiogenesis, and blood-brain-barrier formation. In addressing some of these challenges, the U.S. EPA and A*STAR collaboration will provide a glimpse of what chemical risk assessments could look like in the 21st century. Presentation on US EPA – A*STAR Partnership at international symposium on Accelerating the acceptance of next-generation sciences and their application to regulatory risk assessment in Singapore.

Human dimension in scientific models in high-mountain climate change and risk projects: Peruvian-Swiss experiences

NASA Astrophysics Data System (ADS)

Vicuña, Luis; Jurt, Christine; Minan, Fiorella; Huggel, Christian

2014-05-01

Models in a range of scientific disciplines are increasingly seen as indispensable for successful adaptation. Governments as well as international organizations and cooperations put their efforts in basing their adaptation projects on scientific results. Thereby, it is critical that scientific models are first put into the particular context in which they will be applied. This paper addresses the experience of the project 'Glaciers 513- Climate change adaptation and disaster risk management for glacier retreat in the Andes' conducted in the districts of Carhuaz (Ancash region) and Santa Teresa (Cusco region) in Peru. The Peruvian and the Swiss governments put their joint efforts in an adaptation project in the context of climate change and the retreat of the glaciers. The project is led by a consortium of Care Peru and the University of Zurich with additional Swiss partners and its principal aim is to improve the capacity for integral adaptation and reduce the risk of disasters from glaciers and high-mountain areas, and effects of climate change, particularly in the regions of Cusco and Ancash. The paper shows how the so called "human dimension" on the one hand, and models from a range of disciplines, including climatology, glaciology, and hydrology on the other hand, were conceptualized and perceived by the different actors involved in the project. Important aspects have been, among others, the role of local knowledge including ancestral knowledge, demographic information, socio-economic indicators as well as the social, political and cultural framework and the historical background. Here we analyze the role and context of local knowledge and the historical background. The analysis of the implications of the differences and similarities of the perceptions of a range of actors contributes to the discussion about how, and to what extent scientific models can be contextualized, what kind of information can be helpful for the contextualization and how it can be

The History of UTAUT Model and Its Impact on ICT Acceptance and Usage by Academicians

ERIC Educational Resources Information Center

Oye, N. D.; Iahad, N. A.; Rahim, N. Ab.

2014-01-01

This paper started with the review of the history of technology acceptance model from TRA to UTAUT. The expected contribution is to bring to lime light the current development stage of the technology acceptance model. Based on this, the paper examined the impact of UTAUT model on ICT acceptance and usage in HEIs. The UTAUT model theory was…

Fostering Model-Based School Scientific Argumentation Among Prospective Science Teachers

ERIC Educational Resources Information Center

Aduriz-Bravo, Agustin

2011-01-01

The paper aims both to foster and to assess "school scientific argumentation" among secondary science teachers during their pre-service education. For these purposes, the paper uses the meta-scientific construct of "theoretical model" (proposed by the so-called semantic view of scientific theories from contemporary philosophy of science) in three…

African Scientific Network: A model to enhance scientific research in developing countries

NASA Astrophysics Data System (ADS)

Kebede, Abebe

2002-03-01

Africa has over 350 higher education institutions with a variety of experiences and priorities. The primary objectives of these institutions are to produce white-collar workers, teachers, and the work force for mining, textiles, and agricultural industries. The state of higher education and scientific research in Africa have been discussed in several conferences. The proposals that are generated by these conferences advocate structural changes in higher education, North-South institutional linkages, mobilization of the African Diaspora and funding. We propose a model African Scientific Network that would facilitate and enhance international scientific partnerships between African scientists and their counterparts elsewhere. A recent article by James Lamout (Financial Times, August 2, 2001) indicates that emigration from South Africa alone costs $8.9 billion in lost human resources. The article also stated that every year 23,000 graduates leave Africa for opportunities overseas, mainly in Europe, leaving only 20,000 scientists and engineers serving over 600 million people. The International Organization for Migration states that the brain drain of highly skilled professionals from Africa is making economic growth and poverty alleviation impossible across the continent. In our model we will focus on a possible networking mechanism where the African Diaspora will play a major role in addressing the financial and human resources needs of higher education in Africa

What if Indigenous Knowledge Contradicts Accepted Scientific Findings?--The Hidden Agenda: Respect, Caring and Passion towards Aboriginal Research in the Context of Applying Western Academic Rules

ERIC Educational Resources Information Center

Witt, Norbert

2007-01-01

The statement in the title, what if Indigenous Knowledge contradicts accepted scientific findings (Fowler, 2000), is an expression of the dilemma people who research Indigenous Knowledge think they find themselves in when they are confronted with different interpretations of what it means to be human, or, as I may summarize it, with different…

Educational and Scientific Applications of Climate Model Diagnostic Analyzer

NASA Astrophysics Data System (ADS)

Lee, S.; Pan, L.; Zhai, C.; Tang, B.; Kubar, T. L.; Zhang, J.; Bao, Q.

2016-12-01

Climate Model Diagnostic Analyzer (CMDA) is a web-based information system designed for the climate modeling and model analysis community to analyze climate data from models and observations. CMDA provides tools to diagnostically analyze climate data for model validation and improvement, and to systematically manage analysis provenance for sharing results with other investigators. CMDA utilizes cloud computing resources, multi-threading computing, machine-learning algorithms, web service technologies, and provenance-supporting technologies to address technical challenges that the Earth science modeling and model analysis community faces in evaluating and diagnosing climate models. As CMDA infrastructure and technology have matured, we have developed the educational and scientific applications of CMDA. Educationally, CMDA supported the summer school of the JPL Center for Climate Sciences for three years since 2014. In the summer school, the students work on group research projects where CMDA provide datasets and analysis tools. Each student is assigned to a virtual machine with CMDA installed in Amazon Web Services. A provenance management system for CMDA is developed to keep track of students' usages of CMDA, and to recommend datasets and analysis tools for their research topic. The provenance system also allows students to revisit their analysis results and share them with their group. Scientifically, we have developed several science use cases of CMDA covering various topics, datasets, and analysis types. Each use case developed is described and listed in terms of a scientific goal, datasets used, the analysis tools used, scientific results discovered from the use case, an analysis result such as output plots and data files, and a link to the exact analysis service call with all the input arguments filled. For example, one science use case is the evaluation of NCAR CAM5 model with MODIS total cloud fraction. The analysis service used is Difference Plot Service of

Mobile computing acceptance factors in the healthcare industry: a structural equation model.

PubMed

Wu, Jen-Her; Wang, Shu-Ching; Lin, Li-Min

2007-01-01

This paper presents a revised technology acceptance model to examine what determines mobile healthcare systems (MHS) acceptance by healthcare professionals. Conformation factor analysis was performed to test the reliability and validity of the measurement model. The structural equation modeling technique was used to evaluate the causal model. The results indicated that compatibility, perceived usefulness and perceived ease of use significantly affected healthcare professional behavioral intent. MHS self-efficacy had strong indirect impact on healthcare professional behavioral intent through the mediators of perceived usefulness and perceived ease of use. Yet, the hypotheses for technical support and training effects on the perceived usefulness and perceived ease of use were not supported. This paper provides initial insights into factors that are likely to be significant antecedents of planning and implementing mobile healthcare to enhance professionals' MHS acceptance. The proposed model variables explained 70% of the variance in behavioral intention to use MHS; further study is needed to explore extra significant antecedents of new IT/IS acceptance for mobile healthcare. Such as privacy and security issue, system and information quality, limitations of mobile devices; the above may be other interesting factors for implementing mobile healthcare and could be conducted by qualitative research.

An acceptance model for smart glasses based tourism augmented reality

NASA Astrophysics Data System (ADS)

Obeidy, Waqas Khalid; Arshad, Haslina; Huang, Jiung Yao

2017-10-01

Recent mobile technologies have revolutionized the way people experience their environment. Although, there is only limited research on users' acceptance of AR in the cultural tourism context, previous researchers have explored the opportunities of using augmented reality (AR) in order to enhance user experience. Recent AR research lack works that integrates dimensions which are specific to cultural tourism and smart glass specific context. Hence, this work proposes an AR acceptance model in the context of cultural heritage tourism and smart glasses capable of performing augmented reality. Therefore, in this paper we aim to present an AR acceptance model to understand the AR usage behavior and visiting intention for tourists who use Smart Glass based AR at UNESCO cultural heritage destinations in Malaysia. Furthermore, this paper identifies information quality, technology readiness, visual appeal, and facilitating conditions as external variables and key factors influencing visitors' beliefs, attitudes and usage intention.

Professional development model for science teachers based on scientific literacy

NASA Astrophysics Data System (ADS)

Rubini, B.; Ardianto, D.; Pursitasari, I. D.; Permana, I.

2017-01-01

Scientific literacy is considered as a benchmark of high and low quality of science education in a country. Teachers as a major component of learning at the forefront of building science literacy skills of students in the class. The primary purpose this study is development science teacher coaching model based on scientific literacy. In this article we describe about teacher science literacy and profile coaching model for science’ teachers based on scientific literacy which a part of study conducted in first year. The instrument used in this study consisted of tests, observation sheet, interview guides. The finding showed that problem of low scientific literacy is not only happen the students, but science’ teachers which is a major component in the learning process is still not satisfactory. Understanding science teacher is strongly associated with the background disciplinary. Science teacher was still weak when explaining scientific phenomena, mainly related to the material that relates to the concept of environmental. Coaching model generated from this study consisted of 8 stages by assuming the teacher is an independent learner, so the coaching is done with methods on and off, with time off for activities designed more.

Report for the Office of Scientific and Technical Information: Population Modeling of the Emergence and Development of Scientific Fields

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bettencourt, L. M. A.; Castillo-Chavez, C.; Kaiser, D.

2006-10-04

here a coarse-grained approach to modeling the time-evolution of scientific fields mathematically, through adaptive models of contagion. That is, our models are inspired by epidemic contact processes, but take into account the social interactions and processes whereby scientific ideas spread - social interactions gleaned from close empirical study of historical cases. Variations in model parameters can increase or hamper the speed at which a field develops. In this way, models for the spread of 'infectious' ideas can be used to identify pressure points in the process of innovation that may allow for the evaluation of possible interventions by those responsible for promoting innovation, such as funding agencies. This report is organized as follows: Section 2 introduces and discusses the population model used here to describe the dynamics behind the establishment of scientific fields. The approach is based on a succinct (coarse) description of contact processes between scientists, and is a simplified version of a general class of models developed in the course of this work. We selected this model based primarily on its ability to treat a wide range of data patterns efficiently, across several different scientific fields. We also describe our methods for estimating parameter values, our optimization techniques used to match the model to data, and our method of generating error estimates. Section 3 presents brief accounts of six case studies of scientific evolution, measured by the growth in number of active authors over time, and shows the results of fitting our model to these data, including extrapolations to the near future. Section 4 discusses these results and provides some perspectives on the values and limitations of the models used. We also discuss topics for further research which should improve our ability to predict (and perhaps influence) the course of future scientific research. Section 5 provides more detail on the broad class of epidemic models developed as

Science teacher candidates' perceptions about roles and nature of scientific models

NASA Astrophysics Data System (ADS)

Yenilmez Turkoglu, Ayse; Oztekin, Ceren

2016-05-01

Background: Scientific models have important roles in science and science education. For scientists, they provide a means for generating new knowledge or function as an accessible summary of scientific studies. In science education, on the other hand, they are accessible representations of abstract concepts, and are also organizational frameworks to teach and learn inaccessible facts. As being indispensable parts of learning and doing science, use of scientific models in science classes should be reinforced. At this point, uncovering pre-service science teachers' (PSTs) understandings of scientific models are of great importance since they will design and conduct teaching situations for their students. Purpose: The study aimed to provide an answer to the research question: What understandings do PSTs possess about scientific models? Sample: The sample of the study consisted of 14 PSTs enrolled in an Elementary Science Education program in a public university in Ankara, Turkey. Design and methods: Data were collected by using an open-item instrument and semi-structured interviews, and were analyzed by using qualitative data analysis methods. Results: Findings showed that PSTs held fragmented views of models by having informed views in some aspects while having naïve views on others. That is, although they displayed a constructivist orientation by acknowledging the presence of multiple models for the same phenomenon depending on scientists' perspectives or creativity involved in the production of scientific knowledge, PSTs also expressed logical positivist views by believing that models should be close to the real phenomena that they represent. Findings further revealed that PSTs generally conceptualized models' materialistic uses, yet they did not think much about their theoretical and conceptual uses. It was observed that roles like reifying and visualizing were overestimated and models were dominantly characterized as three-dimensional representations

Struggles with learning about scientific models in a middle school science classroom

NASA Astrophysics Data System (ADS)

Loper, Suzanna Jane

Two important goals in science education are teaching students about the nature of science and teaching students to do scientific inquiry. Learning about scientific models is central to both of these endeavors, but studies have shown that students have very flawed and limited understandings of the nature and purposes of scientific models (Carey & Smith, 1993; Grosslight, Unger, & Jay, 1991; Lederman, 1992). In this dissertation I investigate the processes of teaching and learning about scientific models in an 8th grade classroom in an urban middle school. In order to do so, I examine recordings of student and teacher talk about models across a period of two months in which students completed two independent inquiry projects, using the Inquiry Island software and curriculum (Eslinger, 2004; Shimoda, White, & Frederiksen, 2002; White, Shimoda, & Frederiksen, 2000). My analysis draws on video records of small-group work and whole-class interactions, as well as on students' written work. I find that in this classroom, students struggled to understand the nature and purpose of scientific models. I analyze episodes in the classroom talk in which models appeared to be a source of trouble or confusion, and describe the ways in which the teacher attempted to respond to these troubles. I find that in many cases students appeared to be able to produce scientific models of the proper form, yet still struggled with displaying an understanding of what a model was, or of the functions of models in scientific research. I propose directions for further research and curriculum development in order to build on these findings. In particular, I argue, we need to design ways to help students engage in scientific modeling as a social and communicative practice, and to find ways to build from their everyday reasoning and argumentation practices. My research also reinforces the importance of looking at classroom talk, not just pre- and post-assessments, in order to understand teaching and

A "Semantic" View of Scientific Models for Science Education

ERIC Educational Resources Information Center

Adúriz-Bravo, Agustín

2013-01-01

In this paper I inspect a "semantic" view of scientific models taken from contemporary philosophy of science-I draw upon the so-called "semanticist family", which frontally challenges the received, syntactic conception of scientific theories. I argue that a semantic view may be of use both for science education in the…

Social behavioural epistemology and the scientific community.

PubMed

Watve, Milind

2017-07-01

The progress of science is influenced substantially by social behaviour of and social interactions within the scientific community. Similar to innovations in primate groups, the social acceptance of an innovation depends not only upon the relevance of the innovation but also on the social dominance and connectedness of the innovator. There are a number of parallels between many well-known phenomena in behavioural evolution and various behavioural traits observed in the scientific community. It would be useful, therefore, to use principles of behavioural evolution as hypotheses to study the social behaviour of the scientific community. I argue in this paper that a systematic study of social behavioural epistemology is likely to boost the progress of science by addressing several prevalent biases and other problems in scientific communication and by facilitating appropriate acceptance/rejection of novel concepts.

Scientific data interpolation with low dimensional manifold model

NASA Astrophysics Data System (ADS)

Zhu, Wei; Wang, Bao; Barnard, Richard; Hauck, Cory D.; Jenko, Frank; Osher, Stanley

2018-01-01

We propose to apply a low dimensional manifold model to scientific data interpolation from regular and irregular samplings with a significant amount of missing information. The low dimensionality of the patch manifold for general scientific data sets has been used as a regularizer in a variational formulation. The problem is solved via alternating minimization with respect to the manifold and the data set, and the Laplace-Beltrami operator in the Euler-Lagrange equation is discretized using the weighted graph Laplacian. Various scientific data sets from different fields of study are used to illustrate the performance of the proposed algorithm on data compression and interpolation from both regular and irregular samplings.

Award for Distinguished Scientific Early Career Contributions to Psychology: Robert E. Ployhart

ERIC Educational Resources Information Center

American Psychologist, 2009

2009-01-01

Robert E. Ployhart, recipient of the Award for Distinguished Scientific Early Career Contributions to Psychology, is cited for innovative work in examining reactions to staffing practices and efforts to enhance the acceptability of recruitment and staffing practices; for exemplary use of applied statistical models in examining multilevel effects…

User Acceptance of YouTube for Procedural Learning: An Extension of the Technology Acceptance Model

ERIC Educational Resources Information Center

Lee, Doo Young; Lehto, Mark R.

2013-01-01

The present study was framed using the Technology Acceptance Model (TAM) to identify determinants affecting behavioral intention to use YouTube. Most importantly, this research emphasizes the motives for using YouTube, which is notable given its extrinsic task goal of being used for procedural learning tasks. Our conceptual framework included two…

Semantic Information Processing of Physical Simulation Based on Scientific Concept Vocabulary Model

NASA Astrophysics Data System (ADS)

Kino, Chiaki; Suzuki, Yoshio; Takemiya, Hiroshi

Scientific Concept Vocabulary (SCV) has been developed to actualize Cognitive methodology based Data Analysis System: CDAS which supports researchers to analyze large scale data efficiently and comprehensively. SCV is an information model for processing semantic information for physics and engineering. In the model of SCV, all semantic information is related to substantial data and algorisms. Consequently, SCV enables a data analysis system to recognize the meaning of execution results output from a numerical simulation. This method has allowed a data analysis system to extract important information from a scientific view point. Previous research has shown that SCV is able to describe simple scientific indices and scientific perceptions. However, it is difficult to describe complex scientific perceptions by currently-proposed SCV. In this paper, a new data structure for SCV has been proposed in order to describe scientific perceptions in more detail. Additionally, the prototype of the new model has been constructed and applied to actual data of numerical simulation. The result means that the new SCV is able to describe more complex scientific perceptions.

Acceptance and Utilization of Technology (UTAUT) as a Method of Technology Acceptance Model of Mitigation Disaster Website

NASA Astrophysics Data System (ADS)

Siswanto, T.; Shofiati, R.; Hartini, H.

2018-01-01

www.mitigasi-bencana.com as a knowledge management website created based on survey results in April-July 2014 in East Java and Central Java provinces, indicates a gap between the expectations and reality that exist in the services provided by the regional disaster management agency. Based on condition analysis, the gaps that occur can be reduced if the community has the understanding and knowledge of adequate disaster mitigation. The problem that arises later is whether the chosen technology solution is appropriate and acceptable to the public? The methodology used in this study using the Technology Acceptance Model development is the Unified Theory of Acceptance and Utilization of Technology (UTAUT). Feedback obtained from respondents KarangTaruna youth SelogedongBantul, www.mitigasi-bencana.com can be accepted by the respondents, but from processed data is obtained only UTAUT hypotheses on the relationship dimension eligible for Social Expectancy on the Attitude toward technology, which means the higher the perception of the Social Expectancy, the higher the perception of the Attitude toward technology. Because www.mitigasi-bencana.com is new socialized so that society still need time to explore content information and knowledge contained therein. To be accepted by user, a knowledge management application must prepare various aspects of Performance Expectancy, Effort Expectancy, Social Factors, Facilitating Conditions and Attitude.

User Acceptance of Long-Term Evolution (LTE) Services: An Application of Extended Technology Acceptance Model

ERIC Educational Resources Information Center

Park, Eunil; Kim, Ki Joon

2013-01-01

Purpose: The aim of this paper is to propose an integrated path model in order to explore user acceptance of long-term evolution (LTE) services by examining potential causal relationships between key psychological factors and user intention to use the services. Design/methodology/approach: Online survey data collected from 1,344 users are analysed…

Electronic health record acceptance by physicians: testing an integrated theoretical model.

PubMed

Gagnon, Marie-Pierre; Ghandour, El Kebir; Talla, Pascaline Kengne; Simonyan, David; Godin, Gaston; Labrecque, Michel; Ouimet, Mathieu; Rousseau, Michel

2014-04-01

Several countries are in the process of implementing an Electronic Health Record (EHR), but limited physicians' acceptance of this technology presents a serious threat to its successful implementation. The aim of this study was to identify the main determinants of physician acceptance of EHR in a sample of general practitioners and specialists of the Province of Quebec (Canada). We sent an electronic questionnaire to physician members of the Quebec Medical Association. We tested four theoretical models (Technology acceptance model (TAM), Extended TAM, Psychosocial Model, and Integrated Model) using path analysis and multiple linear regression analysis in order to identify the main determinants of physicians' intention to use the EHR. We evaluated the modifying effect of sociodemographic characteristics using multi-group analysis of structural weights invariance. A total of 157 questionnaires were returned. The four models performed well and explained between 44% and 55% of the variance in physicians' intention to use the EHR. The Integrated model performed the best and showed that perceived ease of use, professional norm, social norm, and demonstrability of the results are the strongest predictors of physicians' intention to use the EHR. Age, gender, previous experience and specialty modified the association between those determinants and intention. The proposed integrated theoretical model is useful in identifying which factors could motivate physicians from different backgrounds to use the EHR. Physicians who perceive the EHR to be easy to use, coherent with their professional norms, supported by their peers and patients, and able to demonstrate tangible results are more likely to accept this technology. Age, gender, specialty and experience should also be taken into account when developing EHR implementation strategies targeting physicians. Copyright © 2013 Elsevier Inc. All rights reserved.

Do I Have to Learn Something New? Mental Models and the Acceptance of Replacement Technologies

ERIC Educational Resources Information Center

Zhang, Wei; Xu, Peng

2011-01-01

Few studies in technology acceptance have explicitly addressed the acceptance of replacement technologies, technologies that replace legacy ones that have been in use. This article explores this issue through the theoretical lens of mental models. We contend that accepting replacement technologies entails both mental model maintenance and mental…

Scientific data interpolation with low dimensional manifold model

DOE PAGES

Zhu, Wei; Wang, Bao; Barnard, Richard C.; ...

2017-09-28

Here, we propose to apply a low dimensional manifold model to scientific data interpolation from regular and irregular samplings with a significant amount of missing information. The low dimensionality of the patch manifold for general scientific data sets has been used as a regularizer in a variational formulation. The problem is solved via alternating minimization with respect to the manifold and the data set, and the Laplace–Beltrami operator in the Euler–Lagrange equation is discretized using the weighted graph Laplacian. Various scientific data sets from different fields of study are used to illustrate the performance of the proposed algorithm on datamore » compression and interpolation from both regular and irregular samplings.« less

Scientific data interpolation with low dimensional manifold model

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhu, Wei; Wang, Bao; Barnard, Richard C.

Here, we propose to apply a low dimensional manifold model to scientific data interpolation from regular and irregular samplings with a significant amount of missing information. The low dimensionality of the patch manifold for general scientific data sets has been used as a regularizer in a variational formulation. The problem is solved via alternating minimization with respect to the manifold and the data set, and the Laplace–Beltrami operator in the Euler–Lagrange equation is discretized using the weighted graph Laplacian. Various scientific data sets from different fields of study are used to illustrate the performance of the proposed algorithm on datamore » compression and interpolation from both regular and irregular samplings.« less

Examining the Factors Affecting PDA Acceptance among Physicians: An Extended Technology Acceptance Model.

PubMed

Basak, Ecem; Gumussoy, Cigdem Altin; Calisir, Fethi

2015-01-01

This study aims at identifying the factors affecting the intention to use personal digital assistant (PDA) technology among physicians in Turkey using an extended Technology Acceptance Model (TAM). A structural equation-modeling approach was used to identify the variables that significantly affect the intention to use PDA technology. The data were collected from 339 physicians in Turkey. Results indicated that 71% of the physicians' intention to use PDA technology is explained by perceived usefulness and perceived ease of use. On comparing both, the perceived ease of use has the strongest effect, whereas the effect of perceived enjoyment on behavioral intention to use is found to be insignificant. This study concludes with the recommendations for managers and possible future research.

The technology acceptance model: its past and its future in health care.

PubMed

Holden, Richard J; Karsh, Ben-Tzion

2010-02-01

Increasing interest in end users' reactions to health information technology (IT) has elevated the importance of theories that predict and explain health IT acceptance and use. This paper reviews the application of one such theory, the Technology Acceptance Model (TAM), to health care. We reviewed 16 data sets analyzed in over 20 studies of clinicians using health IT for patient care. Studies differed greatly in samples and settings, health ITs studied, research models, relationships tested, and construct operationalization. Certain TAM relationships were consistently found to be significant, whereas others were inconsistent. Several key relationships were infrequently assessed. Findings show that TAM predicts a substantial portion of the use or acceptance of health IT, but that the theory may benefit from several additions and modifications. Aside from improved study quality, standardization, and theoretically motivated additions to the model, an important future direction for TAM is to adapt the model specifically to the health care context, using beliefs elicitation methods.

THE TECHNOLOGY ACCEPTANCE MODEL: ITS PAST AND ITS FUTURE IN HEALTH CARE

PubMed Central

HOLDEN, RICHARD J.; KARSH, BEN-TZION

2009-01-01

Increasing interest in end users’ reactions to health information technology (IT) has elevated the importance of theories that predict and explain health IT acceptance and use. This paper reviews the application of one such theory, the Technology Acceptance Model (TAM), to health care. We reviewed 16 data sets analyzed in over 20 studies of clinicians using health IT for patient care. Studies differed greatly in samples and settings, health ITs studied, research models, relationships tested, and construct operationalization. Certain TAM relationships were consistently found to be significant, whereas others were inconsistent. Several key relationships were infrequently assessed. Findings show that TAM predicts a substantial portion of the use or acceptance of health IT, but that the theory may benefit from several additions and modifications. Aside from improved study quality, standardization, and theoretically motivated additions to the model, an important future direction for TAM is to adapt the model specifically to the health care context, using beliefs elicitation methods. PMID:19615467

Scientific Playworlds: a Model of Teaching Science in Play-Based Settings

NASA Astrophysics Data System (ADS)

Fleer, Marilyn

2017-09-01

Eminent scientists, like Einstein, worked with theoretical contradiction, thought experiments, mental models and visualisation—all characteristics of children's play. Supporting children's play is a strength of early childhood teachers. Promising research shows a link between imagination in science and imagination in play. A case study of 3 preschool teachers and 26 children (3.6-5.9 years; mean age of 4.6 years) over 6 weeks was undertaken, generating 59.6 h of digital observations and 788 photographs of play practices. The research sought to understand (1) how imaginative play promotes scientific learning and (2) examined how teachers engaged children in scientific play. Although play pedagogy is a strength of early childhood teachers, it was found that transforming imaginary situations into scientific narratives requires different pedagogical characteristics. The study found that the building of collective scientific narratives alongside of discourses of wondering were key determinants of science learning in play-based settings. Specifically, the pedagogical principles of using a cultural device that mirrors the science experiences, creating imaginary scientific situations, collectively building scientific problem situations, and imagining the relations between observable contexts and non-observable concepts, changed everyday practices into a scientific narrative and engagement. It is argued that these unique pedagogical characteristics promote scientific narratives in play-based settings. An approach, named as Scientific Playworlds, is presented as a possible model for teaching science in play-based settings.

The Model-Based View of Scientific Theories and the Structuring of School Science Programmes

ERIC Educational Resources Information Center

Develaki, Maria

2007-01-01

Model theory in contemporary philosophy of science interprets scientific theories as sets of models, and contributes significantly to the understanding of the relation between theories, models, and the real world. The clarification of this relation is fundamental for the understanding of the nature of scientific methods and scientific knowledge…

Family support and acceptance, gay male identity formation, and psychological adjustment: a path model.

PubMed

Elizur, Y; Ziv, M

2001-01-01

While heterosexist family undermining has been demonstrated to be a developmental risk factor in the life of persons with same-gender orientation, the issue of protective family factors is both controversial and relatively neglected. In this study of Israeli gay males (N = 114), we focused on the interrelations of family support, family acceptance and family knowledge of gay orientation, and gay male identity formation, and their effects on mental health and self-esteem. A path model was proposed based on the hypotheses that family support, family acceptance, family knowledge, and gay identity formation have an impact on psychological adjustment, and that family support has an effect on gay identity formation that is mediated by family acceptance. The assessment of gay identity formation was based on an established stage model that was streamlined for cross-cultural practice by defining three basic processes of same-gender identity formation: self-definition, self-acceptance, and disclosure (Elizur & Mintzer, 2001). The testing of our conceptual path model demonstrated an excellent fit with the data. An alternative model that hypothesized effects of gay male identity on family acceptance and family knowledge did not fit the data. Interpreting these results, we propose that the main effect of family support/acceptance on gay identity is related to the process of disclosure, and that both general family support and family acceptance of same-gender orientation play a significant role in the psychological adjustment of gay men.

[Demonstrating patient safety requires acceptance of a broader scientific palette].

PubMed

Leistikow, I

2017-01-01

It is high time the medical community recognised that patient-safety research can be assessed using other scientific methods than the traditional medical ones. There is often a fundamental mismatch between the methodology of patient-safety research and the methodology used to assess the quality of this research. One example is research into the reliability and validity of record review as a method for detecting adverse events. This type of research is based on logical positivism, while record review itself is based on social constructivism. Record review does not lead to "one truth": adverse events are not measured on the basis of the records themselves, but by weighing the probability of certain situations being classifiable as adverse events. Healthcare should welcome behavioural and social sciences to its scientific palette. Restricting ourselves to the randomised control trial paradigm is short-sighted and dangerous; it deprives patients of much-needed improvements in safety.

Examining the Moderating Effect of Individual-Level Cultural Values on Users' Acceptance of E-Learning in Developing Countries: A Structural Equation Modeling of an Extended Technology Acceptance Model

ERIC Educational Resources Information Center

Tarhini, Ali; Hone, Kate; Liu, Xiaohui; Tarhini, Takwa

2017-01-01

In this study, we examine the effects of individual-level culture on the adoption and acceptance of e-learning tools by students in Lebanon using a theoretical framework based on the Technology Acceptance Model (TAM). To overcome possible limitations of using TAM in developing countries, we extend TAM to include "subjective norms" (SN)…

The Interplay of Scientific Activity, Worldviews and Value Outlooks

ERIC Educational Resources Information Center

Lacey, Hugh

2009-01-01

Scientific activity tends to reflect particular worldviews and their associated value outlooks; and scientific results sometimes have implications for worldviews and the presuppositions of value outlooks. Even so, scientific activity per se neither presupposes nor provides sound rational grounds to accept any worldview or value outlook. Moreover,…

The technology acceptance model: predicting nurses' intention to use telemedicine technology (eICU).

PubMed

Kowitlawakul, Yanika

2011-07-01

The purposes of this study were to determine factors and predictors that influence nurses' intention to use the eICU technology, to examine the applicability of the Technology Acceptance Model in explaining nurses' intention to use the eICU technology in healthcare settings, and to provide psychometric evidence of the measurement scales used in the study. The study involved 117 participants from two healthcare systems. The Telemedicine Technology Acceptance Model was developed based on the original Technology Acceptance Model that was initially developed by Fred Davis in 1986. The eICU Acceptance Survey was used as an instrument for the study. Content validity was examined, and the reliability of the instrument was tested. The results show that perceived usefulness is the most influential factor that influences nurses' intention to use the eICU technology. The principal factors that influence perceived usefulness are perceived ease of use, support from physicians, and years working in the hospital. The model fit was reasonably adequate and able to explain 58% of the variance (R = 0.58) in intention to use the eICU technology with the nursing sample.

On Modeling Research Work for Describing and Filtering Scientific Information

NASA Astrophysics Data System (ADS)

Sicilia, Miguel-Ángel

Existing models for Research Information Systems (RIS) properly address the description of people and organizations, projects, facilities and their outcomes, e.g. papers, reports or patents. While this is adequate for the recording and accountability of research investments, helping researchers in finding relevant people, organizations or results requires considering both the content of research work and also its context. The content is not only related to the domain area, but it requires modeling methodological issues as variables, instruments or scientific methods that can then be used as search criteria. The context of research work is determined by the ongoing projects or scientific interests of an individual or a group, and can be expressed using the same methodological concepts. However, modeling methodological issues is notably complex and dependent on the scientific discipline and research area. This paper sketches the main requirements for those models, providing some motivating examples that could serve as a point of departure for future attempts in developing an upper ontology for research methods and tools.

Acceptance and relationship context: a model of substance use disorder treatment outcome.

PubMed

Gifford, Elizabeth V; Ritsher, Jennifer B; McKellar, John D; Moos, Rudolf H

2006-08-01

This study presented and tested a model of behavior change in long-term substance use disorder recovery, the acceptance and relationship context (ARC) model. The model specifies that acceptance-based behavior and constructive social relationships lead to recovery, and that treatment programs with supportive, involved relationships facilitate the development of these factors. This study used a prospective longitudinal naturalistic design and controlled for baseline levels of study variables. The model was tested on a sample of 2549 patients in 15 residential substance use disorder treatment programs. Acceptance-based responding (ABR), social relationship quality (SRQ), treatment program alliance (TPA) and substance use-related impairment were assessed using interviews and self-report questionnaires. TPA predicted ABR and SRQ and, in turn, ABR predicted better 2-year and 5-year treatment outcomes. The baseline-controlled model accounted for 41% of the variance in outcome at 2-year follow-up and 28% of the variance in outcome at 5-year follow-up. CONCLUSIONS Patients from treatment programs with an affiliative relationship network are more likely to respond adaptively to internal states associated previously with substance use, develop constructive social relationships and achieve long-term treatment benefits.

24 CFR 200.926c - Model code provisions for use in partially accepted code jurisdictions.

Code of Federal Regulations, 2010 CFR

2010-04-01

... Minimum Property Standards § 200.926c Model code provisions for use in partially accepted code... partially accepted, then the properties eligible for HUD benefits in that jurisdiction shall be constructed..., those portions of one of the model codes with which the property must comply. Schedule for Model Code...

24 CFR 200.926c - Model code provisions for use in partially accepted code jurisdictions.

Code of Federal Regulations, 2011 CFR

2011-04-01

... Minimum Property Standards § 200.926c Model code provisions for use in partially accepted code... partially accepted, then the properties eligible for HUD benefits in that jurisdiction shall be constructed..., those portions of one of the model codes with which the property must comply. Schedule for Model Code...

EPA scientific integrity policy draft

NASA Astrophysics Data System (ADS)

Showstack, Randy

2011-08-01

The U.S. Environmental Protection Agency (EPA) issued its draft scientific integrity policy on 5 August. The draft policy addresses scientific ethical standards, communications with the public, the use of advisory committees and peer review, and professional development. The draft policy was developed by an ad hoc group of EPA senior staff and scientists in response to a December 2010 memorandum on scientific integrity from the White House Office of Science and Technology Policy. The agency is accepting public comments on the draft through 6 September; comments should be sent to osa.staff@epa.gov. For more information, see http://www.epa.gov/stpc/pdfs/draft-scientific-integrity-policy-aug2011.pdf.

The use and acceptance of Other Scientifically Relevant Information (OSRI) in the U.S. Environmental Protection Agency (EPA) Endocrine Disruptor Screening Program.

PubMed

Bishop, Patricia L; Willett, Catherine E

2014-02-01

The U.S. Environmental Protection Agency (EPA) Endocrine Disruptor Screening Program (EDSP) currently relies on an initial screening battery (Tier 1) consisting of five in vitro and six in vivo assays to evaluate a chemical's potential to interact with the endocrine system. Chemical companies may request test waivers based on Other Scientifically Relevant Information (OSRI) that is functionally equivalent to data gathered in the screening battery or that provides information on a potential endocrine effect. Respondents for 47 of the first 67 chemicals evaluated in the EDSP submitted OSRI in lieu of some or all Tier 1 tests, seeking 412 waivers, of which EPA granted only 93. For 20 of the 47 chemicals, EPA denied all OSRI and required the entire Tier 1 battery. Often, the OSRI accepted was either identical to data generated by the Tier 1 assay or indicated a positive result. Although identified as potential sources of OSRI in EPA guidance, Part 158 guideline studies for pesticide registration were seldom accepted by EPA. The 93 waivers reduced animal use by at least 3325 animals. We estimate 27,731 animals were used in the actual Tier 1 tests, with additional animals being used in preparation for testing. Even with EPA's shift toward applying 21st-century toxicology tools to screening of endocrine disruptors in the future, acceptance of OSRI will remain a primary means for avoiding duplicative testing and reducing use of animals in the EDSP. Therefore, it is essential that EPA develop a consistent and transparent basis for accepting OSRI. © 2013 Wiley Periodicals, Inc.

Application of Logic Models in a Large Scientific Research Program

ERIC Educational Resources Information Center

O'Keefe, Christine M.; Head, Richard J.

2011-01-01

It is the purpose of this article to discuss the development and application of a logic model in the context of a large scientific research program within the Commonwealth Scientific and Industrial Research Organisation (CSIRO). CSIRO is Australia's national science agency and is a publicly funded part of Australia's innovation system. It conducts…

Conceptual-level workflow modeling of scientific experiments using NMR as a case study

PubMed Central

Verdi, Kacy K; Ellis, Heidi JC; Gryk, Michael R

2007-01-01

Background Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans in the process when intuition and human reasoning are required. Workflows for experiments also highlight transitions among experimental phases, allowing intermediate results to be verified and supporting the proper handling of semantic mismatches and different file formats among the various tools used in the scientific process. Thus, scientific workflows are important for the modeling and subsequent capture of bioinformatics-related data. While much research has been conducted on the implementation of scientific workflows, the initial process of actually designing and generating the workflow at the conceptual level has received little consideration. Results We propose a structured process to capture scientific workflows at the conceptual level that allows workflows to be documented efficiently, results in concise models of the workflow and more-correct workflow implementations, and provides insight into the scientific process itself. The approach uses three modeling techniques to model the structural, data flow, and control flow aspects of the workflow. The domain of biomolecular structure determination using Nuclear Magnetic Resonance spectroscopy is used to demonstrate the process. Specifically, we show the application of the approach to capture the workflow for the process of conducting biomolecular analysis using Nuclear Magnetic Resonance (NMR) spectroscopy. Conclusion Using the approach, we were able to accurately document, in a short amount of time, numerous steps in the process of conducting an experiment using NMR spectroscopy. The resulting models are correct and precise, as outside validation of the models identified only minor omissions in the models. In addition, the models provide an accurate visual description of the control flow for conducting biomolecular analysis using

Conceptual-level workflow modeling of scientific experiments using NMR as a case study.

PubMed

Verdi, Kacy K; Ellis, Heidi Jc; Gryk, Michael R

2007-01-30

Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans in the process when intuition and human reasoning are required. Workflows for experiments also highlight transitions among experimental phases, allowing intermediate results to be verified and supporting the proper handling of semantic mismatches and different file formats among the various tools used in the scientific process. Thus, scientific workflows are important for the modeling and subsequent capture of bioinformatics-related data. While much research has been conducted on the implementation of scientific workflows, the initial process of actually designing and generating the workflow at the conceptual level has received little consideration. We propose a structured process to capture scientific workflows at the conceptual level that allows workflows to be documented efficiently, results in concise models of the workflow and more-correct workflow implementations, and provides insight into the scientific process itself. The approach uses three modeling techniques to model the structural, data flow, and control flow aspects of the workflow. The domain of biomolecular structure determination using Nuclear Magnetic Resonance spectroscopy is used to demonstrate the process. Specifically, we show the application of the approach to capture the workflow for the process of conducting biomolecular analysis using Nuclear Magnetic Resonance (NMR) spectroscopy. Using the approach, we were able to accurately document, in a short amount of time, numerous steps in the process of conducting an experiment using NMR spectroscopy. The resulting models are correct and precise, as outside validation of the models identified only minor omissions in the models. In addition, the models provide an accurate visual description of the control flow for conducting biomolecular analysis using NMR spectroscopy experiment.

Factors Potentially Influencing Student Acceptance of Biological Evolution

NASA Astrophysics Data System (ADS)

Wiles, Jason R.

This investigation explored scientific, religious, and otherwise nonscientific factors that may influence student acceptance of biological evolution and related concepts, how students perceived these factors to have influenced their levels of acceptance of evolution and changes therein, and what patterns arose among students' articulations of how their levels of acceptance of evolution may have changed. This exploration also measured the extent to which students' levels of acceptance changed following a treatment designed to address factors identified as potentially affecting student acceptance of evolution. Acceptance of evolution was measured using the MATE instrument (Rutledge and Warden, 1999; Rutledge and Sadler, 2007) among participants enrolled in a secondary-level academic program during the summer prior to their final year of high school and as they transitioned to the post-secondary level. Student acceptance of evolution was measured to be significantly higher than pre-treatment levels both immediately following and slightly over one year after treatment. Qualitative data from informal questionnaires, from formal course evaluations, and from semi-structured interviews of students engaged in secondary level education and former students at various stages of post-secondary education confirmed that the suspected factors were perceived by participants to have influenced their levels of acceptance of evolution. Furthermore, participant reports provided insight regarding the relative effects they perceived these factors to have had on their evolution acceptance levels. Additionally, many participants reported that their science teachers in public schools had avoided, omitted, or denigrated evolution during instruction, and several of these students expressed frustration regarding what they perceived to have been a lack of education of an important scientific principle. Finally, no students expressed feelings of being offended by having been taught about

Thermal performance modeling of NASA s scientific balloons

NASA Astrophysics Data System (ADS)

Franco, H.; Cathey, H.

The flight performance of a scientific balloon is highly dependant on the interaction between the balloon and its environment. The balloon is a thermal vehicle. Modeling a scientific balloon's thermal performance has proven to be a difficult analytical task. Most previous thermal models have attempted these analyses by using either a bulk thermal model approach, or by simplified representations of the balloon. These approaches to date have provided reasonable, but not very accurate results. Improvements have been made in recent years using thermal analysis tools developed for the thermal modeling of spacecraft and other sophisticated heat transfer problems. These tools, which now allow for accurate modeling of highly transmissive materials, have been applied to the thermal analysis of NASA's scientific balloons. A research effort has been started that utilizes the "Thermal Desktop" addition to AUTO CAD. This paper will discuss the development of thermal models for both conventional and Ultra Long Duration super-pressure balloons. This research effort has focused on incremental analysis stages of development to assess the accuracy of the tool and the required model resolution to produce usable data. The first stage balloon thermal analyses started with simple spherical balloon models with a limited number of nodes, and expanded the number of nodes to determine required model resolution. These models were then modified to include additional details such as load tapes. The second stage analyses looked at natural shaped Zero Pressure balloons. Load tapes were then added to these shapes, again with the goal of determining the required modeling accuracy by varying the number of gores. The third stage, following the same steps as the Zero Pressure balloon efforts, was directed at modeling super-pressure pumpkin shaped balloons. The results were then used to develop analysis guidelines and an approach for modeling balloons for both simple first order estimates and detailed

The public's trust in scientific claims regarding offshore oil drilling.

PubMed

Carlisle, Juliet E; Feezell, Jessica T; Michaud, Kristy E H; Smith, Eric R A N; Smith, Leeanna

2010-09-01

Our study examines how individuals decide which scientific claims and experts to believe when faced with competing claims regarding a policy issue. Using an experiment in a public opinion survey, we test the source content and credibility hypotheses to assess how much confidence people have in reports about scientific studies of the safety of offshore oil drilling along the California coast. The results show that message content has a substantial impact. People tend to accept reports of scientific studies that support their values and prior beliefs, but not studies that contradict them. Previous studies have shown that core values influence message acceptance. We find that core values and prior beliefs have independent effects on message acceptance. We also find that the sources of the claims make little difference. Finally, the public leans toward believing reports that oil drilling is riskier than previously believed.

Development of a tripolar model of technology acceptance: Hospital-based physicians' perspective on EHR.

PubMed

Beglaryan, Mher; Petrosyan, Varduhi; Bunker, Edward

2017-06-01

In health care, information technologies (IT) hold a promise to harness an ever-increasing flow of health related information and bring significant benefits including improved quality of care, efficiency, and cost containment. One of the main tools for collecting and utilizing health data is the Electronic Health Record (EHR). EHRs implementation can face numerous barriers to acceptance including attitudes and perceptions of potential users, required effort attributed to their implementation and usage, and resistance to change. Various theories explicate different aspects of technology deployment, implementation, and acceptance. One of the common theories is the Technology Acceptance Model (TAM), which helps to study the implementation of different healthcare IT applications. The objectives of this study are: to understand the barriers of EHR implementation from the perspective of physicians; to identify major determinants of physicians' acceptance of technology; and develop a model that explains better how EHRs (and technologies in general) are accepted by physicians. The proposed model derives from a cross-sectional survey of physicians selected through multi-stage cluster sampling from the hospitals of Yerevan, Armenia. The study team designed the survey instrument based on a literature review on barriers of EHR implementation. The analysis employed exploratory structural equation modeling (ESEM) with a robust weighted least squares (WLSMV) estimator for categorical indicators. The analysis progressed in two steps: appraisal of the measurement model and testing of the structural model. The derived model identifies the following factors as direct determinants of behavioral intention to use a novel technology: projected collective usefulness; personal innovativeness; patient influence; and resistance to change. Other factors (e.g., organizational change, professional relationships, administrative monitoring, organizational support and computer anxiety) exert their

Bridging Scientific Model Outputs with Emergency Response Needs in Catastrophic Earthquake Responses

ERIC Educational Resources Information Center

Johannes, Tay W.

2010-01-01

In emergency management, scientific models are widely used for running hazard simulations and estimating losses often in support of planning and mitigation efforts. This work expands utility of the scientific model into the response phase of emergency management. The focus is on the common operating picture as it gives context to emergency…

Digital Manipulation in Scientific Images: Some Ethical Considerations.

ERIC Educational Resources Information Center

Hayden, James E.

2000-01-01

Discusses the importance of images in the publishing and presentation of scientific research. Explains the use of photographs as scientific data in research. Lists some reasons for the manipulation of images, and clarifies the acceptable and unacceptable limits of manipulation and image manipulation policy. (Author/YDS)

Using the Scientific Method to Engage Mathematical Modeling: An Investigation of pi

ERIC Educational Resources Information Center

Archer, Lester A. C.; Ng, Karen E.

2016-01-01

The purpose of this paper is to explain how to use the scientific method as the framework to introduce mathematical model. Two interdisciplinary activities, targeted for students in grade 6 or grade 7, are explained to show the application of the scientific method while building a mathematical model to investigate the relationship between the…

Applying AN Object-Oriented Database Model to a Scientific Database Problem: Managing Experimental Data at Cebaf.

NASA Astrophysics Data System (ADS)

Ehlmann, Bryon K.

Current scientific experiments are often characterized by massive amounts of very complex data and the need for complex data analysis software. Object-oriented database (OODB) systems have the potential of improving the description of the structure and semantics of this data and of integrating the analysis software with the data. This dissertation results from research to enhance OODB functionality and methodology to support scientific databases (SDBs) and, more specifically, to support a nuclear physics experiments database for the Continuous Electron Beam Accelerator Facility (CEBAF). This research to date has identified a number of problems related to the practical application of OODB technology to the conceptual design of the CEBAF experiments database and other SDBs: the lack of a generally accepted OODB design methodology, the lack of a standard OODB model, the lack of a clear conceptual level in existing OODB models, and the limited support in existing OODB systems for many common object relationships inherent in SDBs. To address these problems, the dissertation describes an Object-Relationship Diagram (ORD) and an Object-oriented Database Definition Language (ODDL) that provide tools that allow SDB design and development to proceed systematically and independently of existing OODB systems. These tools define multi-level, conceptual data models for SDB design, which incorporate a simple notation for describing common types of relationships that occur in SDBs. ODDL allows these relationships and other desirable SDB capabilities to be supported by an extended OODB system. A conceptual model of the CEBAF experiments database is presented in terms of ORDs and the ODDL to demonstrate their functionality and use and provide a foundation for future development of experimental nuclear physics software using an OODB approach.

Whole earth modeling: developing and disseminating scientific software for computational geophysics.

NASA Astrophysics Data System (ADS)

Kellogg, L. H.

2016-12-01

Historically, a great deal of specialized scientific software for modeling and data analysis has been developed by individual researchers or small groups of scientists working on their own specific research problems. As the magnitude of available data and computer power has increased, so has the complexity of scientific problems addressed by computational methods, creating both a need to sustain existing scientific software, and expand its development to take advantage of new algorithms, new software approaches, and new computational hardware. To that end, communities like the Computational Infrastructure for Geodynamics (CIG) have been established to support the use of best practices in scientific computing for solid earth geophysics research and teaching. Working as a scientific community enables computational geophysicists to take advantage of technological developments, improve the accuracy and performance of software, build on prior software development, and collaborate more readily. The CIG community, and others, have adopted an open-source development model, in which code is developed and disseminated by the community in an open fashion, using version control and software repositories like Git. One emerging issue is how to adequately identify and credit the intellectual contributions involved in creating open source scientific software. The traditional method of disseminating scientific ideas, peer reviewed publication, was not designed for review or crediting scientific software, although emerging publication strategies such software journals are attempting to address the need. We are piloting an integrated approach in which authors are identified and credited as scientific software is developed and run. Successful software citation requires integration with the scholarly publication and indexing mechanisms as well, to assign credit, ensure discoverability, and provide provenance for software.

The Scientific Theory Profile: A Philosophy of Science Model for Science Teachers.

ERIC Educational Resources Information Center

Loving, Cathleen

The model developed for use with science teachers--called the Scientific Theory Profile--consists of placing three well-known philosophers of science on a grid, with the x-axis being their methods for judging theories (rational vs. natural) and the y-axis being their views on scientific theories representing the Truth versus mere models of what…

Patients’ Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test

PubMed Central

Dou, Kaili; Yu, Ping; Liu, Fang; Guan, YingPing; Li, Zhenye; Ji, Yumeng; Du, Ningkai; Lu, Xudong; Duan, Huilong

2017-01-01

Background Chronic disease patients often face multiple challenges from difficult comorbidities. Smartphone health technology can be used to help them manage their conditions only if they accept and use the technology. Objective The aim of this study was to develop and test a theoretical model to predict and explain the factors influencing patients’ acceptance of smartphone health technology for chronic disease management. Methods Multiple theories and factors that may influence patients’ acceptance of smartphone health technology have been reviewed. A hybrid theoretical model was built based on the technology acceptance model, dual-factor model, health belief model, and the factors identified from interviews that might influence patients’ acceptance of smartphone health technology for chronic disease management. Data were collected from patient questionnaire surveys and computer log records about 157 hypertensive patients’ actual use of a smartphone health app. The partial least square method was used to test the theoretical model. Results The model accounted for .412 of the variance in patients’ intention to adopt the smartphone health technology. Intention to use accounted for .111 of the variance in actual use and had a significant weak relationship with the latter. Perceived ease of use was affected by patients’ smartphone usage experience, relationship with doctor, and self-efficacy. Although without a significant effect on intention to use, perceived ease of use had a significant positive influence on perceived usefulness. Relationship with doctor and perceived health threat had significant positive effects on perceived usefulness, countering the negative influence of resistance to change. Perceived usefulness, perceived health threat, and resistance to change significantly predicted patients’ intentions to use the technology. Age and gender had no significant influence on patients’ acceptance of smartphone technology. The study also

ICT and OTs: a model of information and communication technology acceptance and utilisation by occupational therapists.

PubMed

Schaper, Louise K; Pervan, Graham P

2007-06-01

There is evidence to suggest that health professionals are reluctant to accept and utilise information and communication technologies (ICT) and concern is growing within health informatics research that this is contributing to the lag in adoption and utilisation of ICT across the health sector. Technology acceptance research within the field of information systems has been limited in its application to health and there is a concurrent need to develop and gain empirical support for models of technology acceptance within health and to examine acceptance and utilisation issues amongst health professionals to improve the success of information system implementation in this arena. This paper outlines a project that examines ICT acceptance and utilisation by Australian occupational therapists. It describes the theoretical basis behind the development of a research model and the methodology being employed to empirically validate the model using substantial quantitative, qualitative and longitudinal data. Preliminary results from Phase II of the study are presented. The theoretical significance of this work is that it uses a thoroughly constructed research model, with potentially the largest sample size ever tested, to extend technology acceptance research into the health sector.

Effects of an Educational Experience Incorporating an Inventory of Factors Potentially Influencing Student Acceptance of Biological Evolution

ERIC Educational Resources Information Center

Wiles, Jason R.; Alters, Brian

2011-01-01

This investigation provides an extensive review of scientific, religious, and otherwise non-scientific factors that may influence student acceptance of biological evolution. We also measure the extent to which students' levels of acceptance changed following an educational experience designed to address an inclusive inventory of factors identified…

Nuclear energy acceptance and potential role to meet future energy demand. Which technical/scientific achievements are needed?

DOE Office of Scientific and Technical Information (OSTI.GOV)

Schenkel, Roland

25 years after Chernobyl, the Fukushima disaster has changed the perspectives of nuclear power. The disaster has shed a negative light on the independence, reliability and rigor of the national nuclear regulator and plant operator and the usefulness of the international IAEA guidelines on nuclear safety. It has become clear that, in the light of the most severe earthquake in the history of Japan, the plants at Fukushima Daiichi were not adequately protected against tsunamis. Nuclear acceptance has suffered enormously and has changed the perspectives of nuclear energy dramatically in countries that have a very risk-sensitive population, Germany is anmore » example. The paper analyses the reactions in major countries and the expected impact on future deployment of reactors and on R and D activities. On the positive side, the disaster has demonstrated a remarkable robustness of most of the 14 reactors closest to the epicentre of the Tohoku Seaquake although not designed to an event of level 9.0. Public acceptance can only be regained with a rigorous and worldwide approach towards inherent reactor safety and design objectives that limit the impact of severe accidents to the plant itself (like many of the new Gen III reactors). A widespread release of radioactivity and the evacuation (temporary or permanent) of the population up to 30 km around a facility are simply not acceptable. Several countries have announced to request more stringent international standards for reactor safety. The IAEA should take this move forward and intensify and strengthen the different peer review mission schemes. The safety guidelines and peer reviews should in fact become legally binding for IAEA members. The paper gives examples of the new safety features developed over the last 20 years and which yield much safer reactors with lesser burden to the environment under severe accident conditions. The compatibility of these safety systems with the current concepts for fusion-fission hybrids

Nuclear energy acceptance and potential role to meet future energy demand. Which technical/scientific achievements are needed?

NASA Astrophysics Data System (ADS)

Schenkel, Roland

2012-06-01

25 years after Chernobyl, the Fukushima disaster has changed the perspectives of nuclear power. The disaster has shed a negative light on the independence, reliability and rigor of the national nuclear regulator and plant operator and the usefulness of the international IAEA guidelines on nuclear safety. It has become clear that, in the light of the most severe earthquake in the history of Japan, the plants at Fukushima Daiichi were not adequately protected against tsunamis. Nuclear acceptance has suffered enormously and has changed the perspectives of nuclear energy dramatically in countries that have a very risk-sensitive population, Germany is an example. The paper analyses the reactions in major countries and the expected impact on future deployment of reactors and on R&D activities. On the positive side, the disaster has demonstrated a remarkable robustness of most of the 14 reactors closest to the epicentre of the Tohoku Seaquake although not designed to an event of level 9.0. Public acceptance can only be regained with a rigorous and worldwide approach towards inherent reactor safety and design objectives that limit the impact of severe accidents to the plant itself (like many of the new Gen III reactors). A widespread release of radioactivity and the evacuation (temporary or permanent) of the population up to 30 km around a facility are simply not acceptable. Several countries have announced to request more stringent international standards for reactor safety. The IAEA should take this move forward and intensify and strengthen the different peer review mission schemes. The safety guidelines and peer reviews should in fact become legally binding for IAEA members. The paper gives examples of the new safety features developed over the last 20 years and which yield much safer reactors with lesser burden to the environment under severe accident conditions. The compatibility of these safety systems with the current concepts for fusion-fission hybrids, which have

Science Teacher Candidates' Perceptions about Roles and Nature of Scientific Models

ERIC Educational Resources Information Center

Yenilmez Turkoglu, Ayse; Oztekin, Ceren

2016-01-01

Background: Scientific models have important roles in science and science education. For scientists, they provide a means for generating new knowledge or function as an accessible summary of scientific studies. In science education, on the other hand, they are accessible representations of abstract concepts, and are also organizational frameworks…

Designing a Technology-Enhanced Learning Environment to Support Scientific Modeling

ERIC Educational Resources Information Center

Wu, Hsin-Kai; Hsu, Ying-Shao; Hwang, Fu-Kwun

2010-01-01

Modeling of a natural phenomenon is of value in science learning and increasingly emphasized as an important component of science education. However, previous research has shown that secondary school students encounter difficulties when engaging in modeling activities and need substantial support in order to create meaningful scientific models.…

Modeling and Intervening across Time in Scientific Inquiry Exploratory Learning Environment

ERIC Educational Resources Information Center

Ting, Choo-Yee; Phon-Amnuaisuk, Somnuk; Chong, Yen-Kuan

2008-01-01

This article aims at discussing how Dynamic Decision Network (DDN) can be employed to tackle the challenges in modeling temporally variable scientific inquiry skills and provision of adaptive pedagogical interventions in INQPRO, a scientific inquiry exploratory learning environment for learning O'level Physics. We begin with an overview of INQPRO…

Extending the Technology Acceptance Model to Explore the Intention to Use Second Life for Enhancing Healthcare Education

ERIC Educational Resources Information Center

Chow, Meyrick; Herold, David Kurt; Choo, Tat-Ming; Chan, Kitty

2012-01-01

Learners need to have good reasons to engage and accept e-learning. They need to understand that unless they do, the outcomes will be less favourable. The technology acceptance model (TAM) is the most widely recognized model addressing why users accept or reject technology. This study describes the development and evaluation of a virtual…

Real-time remote scientific model validation

NASA Technical Reports Server (NTRS)

Frainier, Richard; Groleau, Nicolas

1994-01-01

This paper describes flight results from the use of a CLIPS-based validation facility to compare analyzed data from a space life sciences (SLS) experiment to an investigator's preflight model. The comparison, performed in real-time, either confirms or refutes the model and its predictions. This result then becomes the basis for continuing or modifying the investigator's experiment protocol. Typically, neither the astronaut crew in Spacelab nor the ground-based investigator team are able to react to their experiment data in real time. This facility, part of a larger science advisor system called Principal Investigator in a Box, was flown on the space shuttle in October, 1993. The software system aided the conduct of a human vestibular physiology experiment and was able to outperform humans in the tasks of data integrity assurance, data analysis, and scientific model validation. Of twelve preflight hypotheses associated with investigator's model, seven were confirmed and five were rejected or compromised.

Scientific Visualization & Modeling for Earth Systems Science Education

NASA Technical Reports Server (NTRS)

Chaudhury, S. Raj; Rodriguez, Waldo J.

2003-01-01

Providing research experiences for undergraduate students in Earth Systems Science (ESS) poses several challenges at smaller academic institutions that might lack dedicated resources for this area of study. This paper describes the development of an innovative model that involves students with majors in diverse scientific disciplines in authentic ESS research. In studying global climate change, experts typically use scientific visualization techniques applied to remote sensing data collected by satellites. In particular, many problems related to environmental phenomena can be quantitatively addressed by investigations based on datasets related to the scientific endeavours such as the Earth Radiation Budget Experiment (ERBE). Working with data products stored at NASA's Distributed Active Archive Centers, visualization software specifically designed for students and an advanced, immersive Virtual Reality (VR) environment, students engage in guided research projects during a structured 6-week summer program. Over the 5-year span, this program has afforded the opportunity for students majoring in biology, chemistry, mathematics, computer science, physics, engineering and science education to work collaboratively in teams on research projects that emphasize the use of scientific visualization in studying the environment. Recently, a hands-on component has been added through science student partnerships with school-teachers in data collection and reporting for the GLOBE Program (GLobal Observations to Benefit the Environment).

Integrate Data into Scientific Workflows for Terrestrial Biosphere Model Evaluation through Brokers

NASA Astrophysics Data System (ADS)

Wei, Y.; Cook, R. B.; Du, F.; Dasgupta, A.; Poco, J.; Huntzinger, D. N.; Schwalm, C. R.; Boldrini, E.; Santoro, M.; Pearlman, J.; Pearlman, F.; Nativi, S.; Khalsa, S.

2013-12-01

Terrestrial biosphere models (TBMs) have become integral tools for extrapolating local observations and process-level understanding of land-atmosphere carbon exchange to larger regions. Model-model and model-observation intercomparisons are critical to understand the uncertainties within model outputs, to improve model skill, and to improve our understanding of land-atmosphere carbon exchange. The DataONE Exploration, Visualization, and Analysis (EVA) working group is evaluating TBMs using scientific workflows in UV-CDAT/VisTrails. This workflow-based approach promotes collaboration and improved tracking of evaluation provenance. But challenges still remain. The multi-scale and multi-discipline nature of TBMs makes it necessary to include diverse and distributed data resources in model evaluation. These include, among others, remote sensing data from NASA, flux tower observations from various organizations including DOE, and inventory data from US Forest Service. A key challenge is to make heterogeneous data from different organizations and disciplines discoverable and readily integrated for use in scientific workflows. This presentation introduces the brokering approach taken by the DataONE EVA to fill the gap between TBMs' evaluation scientific workflows and cross-organization and cross-discipline data resources. The DataONE EVA started the development of an Integrated Model Intercomparison Framework (IMIF) that leverages standards-based discovery and access brokers to dynamically discover, access, and transform (e.g. subset and resampling) diverse data products from DataONE, Earth System Grid (ESG), and other data repositories into a format that can be readily used by scientific workflows in UV-CDAT/VisTrails. The discovery and access brokers serve as an independent middleware that bridge existing data repositories and TBMs evaluation scientific workflows but introduce little overhead to either component. In the initial work, an OpenSearch-based discovery broker

Patients' Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test.

PubMed

Dou, Kaili; Yu, Ping; Deng, Ning; Liu, Fang; Guan, YingPing; Li, Zhenye; Ji, Yumeng; Du, Ningkai; Lu, Xudong; Duan, Huilong

2017-12-06

Chronic disease patients often face multiple challenges from difficult comorbidities. Smartphone health technology can be used to help them manage their conditions only if they accept and use the technology. The aim of this study was to develop and test a theoretical model to predict and explain the factors influencing patients' acceptance of smartphone health technology for chronic disease management. Multiple theories and factors that may influence patients' acceptance of smartphone health technology have been reviewed. A hybrid theoretical model was built based on the technology acceptance model, dual-factor model, health belief model, and the factors identified from interviews that might influence patients' acceptance of smartphone health technology for chronic disease management. Data were collected from patient questionnaire surveys and computer log records about 157 hypertensive patients' actual use of a smartphone health app. The partial least square method was used to test the theoretical model. The model accounted for .412 of the variance in patients' intention to adopt the smartphone health technology. Intention to use accounted for .111 of the variance in actual use and had a significant weak relationship with the latter. Perceived ease of use was affected by patients' smartphone usage experience, relationship with doctor, and self-efficacy. Although without a significant effect on intention to use, perceived ease of use had a significant positive influence on perceived usefulness. Relationship with doctor and perceived health threat had significant positive effects on perceived usefulness, countering the negative influence of resistance to change. Perceived usefulness, perceived health threat, and resistance to change significantly predicted patients' intentions to use the technology. Age and gender had no significant influence on patients' acceptance of smartphone technology. The study also confirmed the positive relationship between intention to use

Research article: Watershed management councils and scientific models: Using diffusion literature to explain adoption

USGS Publications Warehouse

King, M.D.; Burkardt, N.; Clark, B.T.

2006-01-01

Recent literature on the diffusion of innovations concentrates either specifically on public adoption of policy, where social or environmental conditions are the dependent variables for adoption, or on private adoption of an innovation, where emphasis is placed on the characteristics of the innovation itself. This article uses both the policy diffusion literature and the diffusion of innovation literature to assess watershed management councils' decisions to adopt, or not adopt, scientific models. Watershed management councils are a relevant case study because they possess both public and private attributes. We report on a survey of councils in the United States that was conducted to determine the criteria used when selecting scientific models for studying watershed conditions. We found that specific variables from each body of literature play a role in explaining the choice to adopt scientific models by these quasi-public organizations. The diffusion of innovation literature contributes to an understanding of how organizations select models by confirming the importance of a model's ability to provide better data. Variables from the policy diffusion literature showed that watershed management councils that employ consultants are more likely to use scientific models. We found a gap between those who create scientific models and those who use these models. We recommend shrinking this gap through more communication between these actors and advancing the need for developers to provide more technical assistance.

The Coastal Zone: Man and Nature. An Application of the Socio-Scientific Reasoning Model.

ERIC Educational Resources Information Center

Maul, June Paradise; And Others

The curriculum model described here has been designed by incorporating the socio-scientific reasoning model with a simulation design in an attempt to have students investigate the onshore impacts of Outer Continental Shelf (OCS) gas and oil development. The socio-scientific reasoning model incorporates a logical/physical reasoning component as…

Effects of an Educational Experience Incorporating an Inventory of Factors Potentially Influencing Student Acceptance of Biological Evolution

NASA Astrophysics Data System (ADS)

Wiles, Jason R.; Alters, Brian

2011-12-01

This investigation provides an extensive review of scientific, religious, and otherwise non-scientific factors that may influence student acceptance of biological evolution. We also measure the extent to which students' levels of acceptance changed following an educational experience designed to address an inclusive inventory of factors identified as potentially affecting student acceptance of evolution (n = 81, pre-test/post-test) n = 37, one-year longitudinal). Acceptance of evolution was measured using the Measure of Acceptance of the Theory of Evolution (MATE) instrument among participants enrolled in a secondary-level academic programme during the summer prior to their final year of high school and as they transitioned to the post-secondary level. Student acceptance of evolution was measured to be significantly higher than initial levels both immediately following and over one year after the educational experience. Results reported herein carry implications for future quantitative and qualitative research as well as for cross-disciplinary instruction plans related to evolutionary science and non-scientific factors which may influence student understanding of evolution.

What Does Galileo's Discovery of Jupiter's Moons Tell Us About the Process of Scientific Discovery?

NASA Astrophysics Data System (ADS)

Lawson, Anton E.

In 1610, Galileo Galilei discovered Jupiter''smoons with the aid of a new morepowerful telescope of his invention. Analysisof his report reveals that his discoveryinvolved the use of at least three cycles ofhypothetico-deductive reasoning. Galileofirst used hypothetico-deductive reasoning to generateand reject a fixed star hypothesis.He then generated and rejected an ad hocastronomers-made-a-mistake hypothesis.Finally, he generated, tested, and accepted a moonhypothesis. Galileo''s reasoningis modeled in terms of Piaget''s equilibration theory,Grossberg''s theory of neurologicalactivity, a neural network model proposed by Levine &Prueitt, and another proposedby Kosslyn & Koenig. Given that hypothetico-deductivereasoning has played a rolein other important scientific discoveries, thequestion is asked whether it plays a rolein all important scientific discoveries. In otherwords, is hypothetico-deductive reasoningthe essence of the scientific method? Possiblealternative scientific methods, such asBaconian induction and combinatorial analysis,are explored and rejected as viablealternatives. Educational implications of thishypothetico-deductive view of scienceare discussed.

A Teaching Model for Scaffolding 4th Grade Students' Scientific Explanation Writing

NASA Astrophysics Data System (ADS)

Yang, Hsiu-Ting; Wang, Kuo-Hua

2014-08-01

Improving students scientific explanations is one major goal of science education. Both writing activities and concept mapping are reported as effective strategies for enhancing student learning of science. The purpose of this study was to examine the effect of a teaching model, named the DCI model, which integrates a Descriptive explanation writing activity, Concept mapping, and an Interpretive explanation writing activity, is introduced in a 4th grade science class to see if it would improve students' scientific explanations and understanding. A quasi-experimental design, including a non-randomized comparison group and a pre- and post-test design, was adopted for this study. An experimental group of 25 students were taught using the DCI teaching model, while a comparison group received a traditional lecture teaching. A rubric and content analysis was used to assess students' scientific explanations. The independent sample t test was used to measure difference in conceptual understanding between the two groups, before and after instruction. Then, the paired t test analysis was used to understand the promotion of the DCI teaching model. The results showed that students in the experimental group performed better than students in the comparison group, both in scientific concept understanding and explanation. Suggestions for using concept mapping and writing activities (the DCI teaching model) in science classes are provided in this study.

Promoting Scientific Thinking and Conceptual Change about Alternative Explanations of Climate Change and Other Controversial Socio-scientific Topics

NASA Astrophysics Data System (ADS)

Lombardi, D.; Sinatra, G. M.

2013-12-01

Critical evaluation and plausibility reappraisal of scientific explanations have been underemphasized in many science classrooms (NRC, 2012). Deep science learning demands that students increase their ability to critically evaluate the quality of scientific knowledge, weigh alternative explanations, and explicitly reappraise their plausibility judgments. Therefore, this lack of instruction about critical evaluation and plausibility reappraisal has, in part, contributed to diminished understanding about complex and controversial topics, such as global climate change. The Model-Evidence Link (MEL) diagram (originally developed by researchers at Rutgers University under an NSF-supported project; Chinn & Buckland, 2012) is an instructional scaffold that promotes students to critically evaluate alternative explanations. We recently developed a climate change MEL and found that the students who used the MEL experienced a significant shift in their plausibility judgments toward the scientifically accepted model of human-induced climate change. Using the MEL for instruction also resulted in conceptual change about the causes of global warming that reflected greater understanding of fundamental scientific principles. Furthermore, students sustained this conceptual change six months after MEL instruction (Lombardi, Sinatra, & Nussbaum, 2013). This presentation will discuss recent educational research that supports use of the MEL to promote critical evaluation, plausibility reappraisal, and conceptual change, and also, how the MEL may be particularly effective for learning about global climate change and other socio-scientific topics. Such instruction to develop these fundamental thinking skills (e.g., critical evaluation and plausibility reappraisal) is demanded by both the Next Generation Science Standards (Achieve, 2013) and the Common Core State Standards for English Language Arts and Mathematics (CCSS Initiative-ELA, 2010; CCSS Initiative-Math, 2010), as well as a

Scientism and Scientific Thinking: A Note on Science Education

ERIC Educational Resources Information Center

Gasparatou, Renia

2017-01-01

The move from respecting science to "scientism," i.e., the idealization of science and scientific method, is simple: We go from acknowledging the sciences as fruitful human activities to oversimplifying the ways they work, and accepting a fuzzy belief that "Science" and "Scientific Method," will give us a direct…

The Earth expansion theory and its transition from scientific hypothesis to pseudoscientific belief

NASA Astrophysics Data System (ADS)

Sudiro, P.

2014-06-01

During the first half of 20th century, the dominant global tectonics model based on Earth contraction had increasing problems accommodating new geological evidence, with the result that alternative geodynamic theories were investigated. Due to the level of scientific knowledge and the limited amount of data available in many scientific disciplines at the time, not only was contractionism considered a valid scientific theory but the debate also included expansionism, mobilism on a fixed-dimension planet, or various combinations of these geodynamic hypotheses. Geologists and physicists generally accepted that planets could change their dimensions, although the change of volume was generally believed to happen because of a contraction, not an expansion. Constant generation of new matter in the universe was a possibility accepted by science, as it was the variation in the cosmological constants. Continental drift, instead, was a more heterodox theory, requiring a larger effort from the geoscientists to be accepted. The new geological data collected in the following decades, an improved knowledge of the physical processes, the increased resolution and penetration of geophysical tools, and the sensitivity of measurements in physics decreased the uncertainty level in many fields of science. Theorists now had less freedom for speculation because their theories had to accommodate more data, and more limiting conditions to respect. This explains the rapid replacement of contracting Earth, expanding Earth, and continental drift theories by plate tectonics once the symmetrical oceanic magnetic striping was discovered, because none of the previous models could explain and incorporate the new oceanographic and geophysical data. Expansionism could survive after the introduction of plate tectonics because its proponents have increasingly detached their theory from reality by systematically rejecting or overlooking any contrary evidence, and selectively picking only the data that

ETV VR/VS Magee Scientific Model AE33 Aethalometer

EPA Science Inventory

The objective of the ETV AMS Center is to verify the performance characteristics of environmental monitoring technologies for air, water, and soil. This report provides results for the verification testing of the Magee Scientific Model AE33 Aethalometer.

Evaluating the ethical acceptability of animal research.

PubMed

Bout, Henriëtte J; Fentener van Vlissingen, J Martje; Karssing, Edgar D

2014-11-01

The ethical acceptability of animal research is typically evaluated on a case-by-case basis. Legislation such as Directive 2010/63/EU on the protection of animals used for scientific purposes provides guidance for ethical evaluation of animal use proposals but does not dictate the outcome, leaving this determination to the ethical review committees of individual institutions. The authors assess different ethics models and how these are reflected in the guidelines of Directive 2010/63/EU. They also describe a matrix for carrying out harm-benefit analyses of animal use proposals, which they identified by examining the practices of three ethical review committees in the Netherlands. Finally, they discuss how this matrix can be applied by ethical review committees at other institutions.

Making sense scientific claims in advertising. A study of scientifically aware consumers.

PubMed

Dodds, Rachel E; Tseëlon, Efrat; Weitkamp, Emma L C

2008-04-01

Evidence that science is becoming increasingly embedded in culture comes from the proliferation of discourses of ethical consumption, sustainability, and environmental awareness. Al Gore's recent award, along with UN's Inter-governmental Panel on Climate Change (IPCC) of the Nobel peace prize-- provided a recent high profile linking of consumption and science. It is not clear to what extent the public at large engages in evaluating the scientific merits of the arguments about the link between human consumption and global environmental catastrophes. But on a local scale, we are routinely required to evaluate, scientific and pseudoscientific claims in advertising. Since advertising is used to sell products, the discourse of scientifically framed claims is being used to persuade consumers of the benefits of these products. In the case of functional foods and cosmetics, such statements are deployed to promote the health benefits and effectiveness of their products. This exploratory study examines the views of British consumers about the scientific and pseudoscientific claims made in advertisements for foods, with particular reference to functional foods, and cosmetics. The participants in the study all worked in scientific environments, though they were not all scientists. The study found that scientific arguments that were congruent with existing health knowledge tended to be accepted while pseudoscientific knowledge was regarded skeptically and concerns were raised over the accuracy and believability of the pseudoscientific claims. It appears that scientific awareness may play a part in consumers' ability to critically examine scientifically and pseudoscientifically based advertising claims.

Stimulating Scientific Reasoning with Drawing-Based Modeling

NASA Astrophysics Data System (ADS)

Heijnes, Dewi; van Joolingen, Wouter; Leenaars, Frank

2018-02-01

We investigate the way students' reasoning about evolution can be supported by drawing-based modeling. We modified the drawing-based modeling tool SimSketch to allow for modeling evolutionary processes. In three iterations of development and testing, students in lower secondary education worked on creating an evolutionary model. After each iteration, the user interface and instructions were adjusted based on students' remarks and the teacher's observations. Students' conversations were analyzed on reasoning complexity as a measurement of efficacy of the modeling tool and the instructions. These findings were also used to compose a set of recommendations for teachers and curriculum designers for using and constructing models in the classroom. Our findings suggest that to stimulate scientific reasoning in students working with a drawing-based modeling, tool instruction about the tool and the domain should be integrated. In creating models, a sufficient level of scaffolding is necessary. Without appropriate scaffolds, students are not able to create the model. With scaffolding that is too high, students may show reasoning that incorrectly assigns external causes to behavior in the model.

Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to Use E-Learning Systems

ERIC Educational Resources Information Center

Lee, Yi-Hsuan; Hsieh, Yi-Chuan; Hsu, Chia-Ning

2011-01-01

This study intends to investigate factors affecting business employees' behavioral intentions to use the e-learning system. Combining the innovation diffusion theory (IDT) with the technology acceptance model (TAM), the present study proposes an extended technology acceptance model. The proposed model was tested with data collected from 552…

Critical appraisal of scientific articles: part 1 of a series on evaluation of scientific publications.

PubMed

du Prel, Jean-Baptist; Röhrig, Bernd; Blettner, Maria

2009-02-01

In the era of evidence-based medicine, one of the most important skills a physician needs is the ability to analyze scientific literature critically. This is necessary to keep medical knowledge up to date and to ensure optimal patient care. The aim of this paper is to present an accessible introduction into critical appraisal of scientific articles. Using a selection of international literature, the reader is introduced to the principles of critical reading of scientific articles in medicine. For the sake of conciseness, detailed description of statistical methods is omitted. Widely accepted principles for critically appraising scientific articles are outlined. Basic knowledge of study design, structuring of an article, the role of different sections, of statistical presentations as well as sources of error and limitation are presented. The reader does not require extensive methodological knowledge. As far as necessary for critical appraisal of scientific articles, differences in research areas like epidemiology, clinical, and basic research are outlined. Further useful references are presented. Basic methodological knowledge is required to select and interpret scientific articles correctly.

An Investigation of Employees' Use of E-Learning Systems: Applying the Technology Acceptance Model

ERIC Educational Resources Information Center

Lee, Yi-Hsuan; Hsieh, Yi-Chuan; Chen, Yen-Hsun

2013-01-01

The purpose of this study is to apply the technology acceptance model to examine the employees' attitudes and acceptance of electronic learning (e-learning) systems in organisations. This study examines four factors (organisational support, computer self-efficacy, prior experience and task equivocality) that are believed to influence employees'…

An Evaluation of Curriculum Materials Based Upon the Socio-Scientific Reasoning Model.

ERIC Educational Resources Information Center

Henkin, Gayle; And Others

To address the need to develop a scientifically literate citizenry, the socio-scientific reasoning model was created to guide curriculum development. Goals of this developmental approach include increasing: (1) students' skills in dealing with problems containing multiple interacting variables; (2) students' decision-making skills incorporating a…

USGS to accept private funds

NASA Astrophysics Data System (ADS)

The U.S. Geological Survey (USGS), the federal government's largest earth science research agency, is now authorized to accept contributions from private sources and to collaborate with such sources in projects that support the agency's scientific research and its development of technology and data systems.Before the USGS can accept outside contributions, however, the proposed project must be deemed to be in the public interest and must be deemed compatible with the basic USGS mission. Among the responsibilities of the USGS, are assessing the nation's land, water, energy, and mineral resources and developing methods to define and mitigate hazards associated with earthquakes, volcanic eruptions, and landslides. Details on criteria and procedures for making contributions and entering into collaborative projects are outlined in the June 2 Federal Register.

[Acceptance and Commitment Therapy: Theoretical background and practice].

PubMed

Eisenbeck, Nikolett; Schlosser, Károly Kornél; Szondy, Máté; Szabó-Bartha, Anett

The Acceptance and Commitment Therapy (ACT) is one of the modern, so-called third-wave behavioural therapies. Among them the most successful is ACT, both in the number of therapists and respective scientific research. ACT's theoretical and philosophical background is described explicitly and its therapeutic interventions were developed according to this philosophy. Its psychopathological model is based on the idea that mainly the person's regulatory efforts of their own thoughts and feelings lead to psychological problems. That is, the source of human suffering and various psychological problems is the so called psychological inflexibility: control attempts of private events instead of living a life based on personal values and long-term goals. Therefore, clinical work in ACT focuses on the acceptance and defusion of the unwanted inner experiences and on the development of a meaningful life. The present article aims to provide a comprehensive description of ACT in Hungarian: its theoretical background, clinical techniques, and efficacy. At the end of the article, the state of ACT in Hungary will also be briefly discussed.

Barcode Technology Acceptance and Utilization in Health Information Management Department at Academic Hospitals According to Technology Acceptance Model.

PubMed

Ehteshami, Asghar

2017-03-01

Nowdays, due to the increasing importance of quality care, organizations focuse on the improving provision, management and distribution of health. On one hand, incremental costs of the new technologies and on the other hand, increased knowledge of health care recipients and their expectations for high quality services have doubled the need to make changes in order to respond to resource constraints (financial, human, material). For this purpose, several technologies, such as barcode, have been used in hospitals to improve services and staff productivity; but various factors effect on the adoption of new technologies and despite good implementation of a technology and its benefits, sometimes personnel don't accept and don't use it. This is an applied descriptive cross-sectional study in which all the barcode users in health information management department of the three academic hospitals (Feiz, Al-Zahra, Ayatollah Kashani) affiliated to Isfahan University of Medical Sciences were surveyed by the barcode technology acceptance questionnaire, in six areas as following: barcode ease of learning, capabilities, perception of its usefulness and its ease of use, users attitudes towards its using, and users intention. The finding showed that barcode technology total acceptance was relatively desirable (%76.9); the most compliance with TAM model was related to the user perceptions about the ease of use of barcode technology and the least compliance was related to the ease of learning barcode technology (respectively %83.7 and %71.5). Ease of learning and barcode capability effect of usefulness and perceived ease of barcode technology. Users perceptions effect their attitudes toward greater use of technology and their attitudes have an effect on their intention to use the technology and finally, their intention makes actual use of the technology (acceptance). Therefore, considering the six elements related to technology implementation can be important in the barcode

Nurses' perceptions, acceptance, and use of a novel in-room pediatric ICU technology: testing an expanded technology acceptance model.

PubMed

Holden, Richard J; Asan, Onur; Wozniak, Erica M; Flynn, Kathryn E; Scanlon, Matthew C

2016-11-15

The value of health information technology (IT) ultimately depends on end users accepting and appropriately using it for patient care. This study examined pediatric intensive care unit nurses' perceptions, acceptance, and use of a novel health IT, the Large Customizable Interactive Monitor. An expanded technology acceptance model was tested by applying stepwise linear regression to data from a standardized survey of 167 nurses. Nurses reported low-moderate ratings of the novel IT's ease of use and low to very low ratings of usefulness, social influence, and training. Perceived ease of use, usefulness for patient/family involvement, and usefulness for care delivery were associated with system satisfaction (R 2  = 70%). Perceived usefulness for care delivery and patient/family social influence were associated with intention to use the system (R 2  = 65%). Satisfaction and intention were associated with actual system use (R 2  = 51%). The findings have implications for research, design, implementation, and policies for nursing informatics, particularly novel nursing IT. Several changes are recommended to improve the design and implementation of the studied IT.

Scientific dishonesty—a nationwide survey of doctoral students in Norway

PubMed Central

2013-01-01

Background The knowledge of scientific dishonesty is scarce and heterogeneous. Therefore this study investigates the experiences with and the attitudes towards various forms of scientific dishonesty among PhD-students at the medical faculties of all Norwegian universities. Method Anonymous questionnaire distributed to all post graduate students attending introductory PhD-courses at all medical faculties in Norway in 2010/2011. Descriptive statistics. Results 189 of 262 questionnaires were returned (72.1%). 65% of the respondents had not, during the last year, heard or read about researchers who committed scientific dishonesty. One respondent had experienced pressure to fabricate and to falsify data, and one had experienced pressure to plagiarize data. On average 60% of the respondents were uncertain whether their department had a written policy concerning scientific conduct. About 11% of the respondents had experienced unethical pressure concerning the order of authors during the last 12 months. 10% did not find it inappropriate to report experimental data without having conducted the experiment and 38% did not find it inappropriate to try a variety of different methods of analysis to find a statistically significant result. 13% agreed that it is acceptable to selectively omit contradictory results to expedite publication and 10% found it acceptable to falsify or fabricate data to expedite publication, if they were confident of their findings. 79% agreed that they would be willing to report misconduct to a responsible official. Conclusion Although there is less scientific dishonesty reported in Norway than in other countries, dishonesty is not unknown to doctoral students. Some forms of scientific misconduct are considered to be acceptable by a significant minority. There was little awareness of relevant policies for scientific conduct, but a high level of willingness to report misconduct. PMID:23289954

Scientific Assessment of Stratospheric Ozone: 1989, volume 2. Appendix: AFEAS Report

NASA Technical Reports Server (NTRS)

1990-01-01

The results are presented of the Alternative Fluorocarbon Environmental Acceptability Study (AFEAS), which was organized to evaluate the potential effects on the environment of alternate compounds targeted to replace fully halogenated chlorofluorocarbons (CFCs). All relevant current scientific information to determine the environmental acceptability of the alternative fluorocarbons. Special emphasis was placed on: the potential of the compounds to affect stratospheric ozone; their potential to affect tropospheric ozone; their potential to contribute to model calculated global warming; the atmospheric degradation mechanisms of the compounds, in order to identify their products; and the potential environmental effects of the decomposition products. The alternative compounds to be studied were hydrofluorocarbons (HFCs) with one or two carbon atoms and one or more each of fluorine and hydrogen.

Scientific Misconduct

NASA Astrophysics Data System (ADS)

Moore, John W.

2002-12-01

These cases provide a good basis for discussions of scientific ethics, particularly with respect to the responsibilities of colleagues in collaborative projects. With increasing numbers of students working in cooperative or collaborative groups, there may be opportunities for more than just discussion—similar issues of responsibility apply to the members of such groups. Further, this is an area where, “no clear, widely accepted standards of behavior exist” (1). Thus there is an opportunity to point out to students that scientific ethics, like science itself, is incomplete and needs constant attention to issues that result from new paradigms such as collaborative research. Finally, each of us can resolve to pay more attention to the contributions we and our colleagues make to collaborative projects, applying to our own work no less critical an eye than we would cast on the work of those we don’t know at all.

Engaging Undergraduate Biology Students in Scientific Modeling: Analysis of Group Interactions, Sense-Making, and Justification

PubMed Central

Bierema, Andrea M.-K.; Schwarz, Christina V.; Stoltzfus, Jon R.

2017-01-01

National calls for improving science education (e.g., Vision and Change) emphasize the need to learn disciplinary core ideas through scientific practices. To address this need, we engaged small groups of students in developing diagrammatic models within two (one large-enrollment and one medium-enrollment) undergraduate introductory biology courses. During these activities, students developed scientific models of biological phenomena such as enhanced growth in genetically modified fish. To investigate whether undergraduate students productively engaged in scientific practices during these modeling activities, we recorded groups of students as they developed models and examined three characteristics: how students 1) interacted with one another, 2) made sense of phenomena, and 3) justified their ideas. Our analysis indicates that students spent most of the time on task, developing and evaluating their models. Moreover, they worked cooperatively to make sense of core ideas and justified their ideas to one another throughout the activities. These results demonstrate that, when provided with the opportunity to develop models during class, students in large-enrollment lecture courses can productively engage in scientific practices. We discuss potential reasons for these outcomes and suggest areas of future research to continue advancing knowledge regarding engaging students in scientific practices in large-enrollment lecture courses. PMID:29196429

The Effects of Science Models on Students' Understanding of Scientific Processes

NASA Astrophysics Data System (ADS)

Berglin, Riki Susan

This action research study investigated how the use of science models affected fifth-grade students' ability to transfer their science curriculum to a deeper understanding of scientific processes. This study implemented a variety of science models into a chemistry unit throughout a 6-week study. The research question addressed was: In what ways do using models to learn and teach science help students transfer classroom knowledge to a deeper understanding of the scientific processes? Qualitative and quantitative data were collected through pre- and post-science interest inventories, observations field notes, student work samples, focus group interviews, and chemistry unit tests. These data collection tools assessed students' attitudes, engagement, and content knowledge throughout their chemistry unit. The results of the data indicate that the model-based instruction program helped with students' engagement in the lessons and understanding of chemistry content. The results also showed that students displayed positive attitudes toward using science models.

Application of logic models in a large scientific research program.

PubMed

O'Keefe, Christine M; Head, Richard J

2011-08-01

It is the purpose of this article to discuss the development and application of a logic model in the context of a large scientific research program within the Commonwealth Scientific and Industrial Research Organisation (CSIRO). CSIRO is Australia's national science agency and is a publicly funded part of Australia's innovation system. It conducts mission-driven scientific research focussed on delivering results with relevance and impact for Australia, where impact is defined and measured in economic, environmental and social terms at the national level. The Australian Government has recently signalled an increasing emphasis on performance assessment and evaluation, which in the CSIRO context implies an increasing emphasis on ensuring and demonstrating the impact of its research programs. CSIRO continues to develop and improve its approaches to impact planning and evaluation, including conducting a trial of a program logic approach in the CSIRO Preventative Health National Research Flagship. During the trial, improvements were observed in clarity of the research goals and path to impact, as well as in alignment of science and support function activities with national challenge goals. Further benefits were observed in terms of communication of the goals and expected impact of CSIRO's research programs both within CSIRO and externally. The key lesson learned was that significant value was achieved through the process itself, as well as the outcome. Recommendations based on the CSIRO trial may be of interest to managers of scientific research considering developing similar logic models for their research projects. The CSIRO experience has shown that there are significant benefits to be gained, especially if the project participants have a major role in the process of developing the logic model. Copyright © 2011 Elsevier Ltd. All rights reserved.

Scientific white paper on concentration-QTc modeling.

PubMed

Garnett, Christine; Bonate, Peter L; Dang, Qianyu; Ferber, Georg; Huang, Dalong; Liu, Jiang; Mehrotra, Devan; Riley, Steve; Sager, Philip; Tornoe, Christoffer; Wang, Yaning

2018-06-01

The International Council for Harmonisation revised the E14 guideline through the questions and answers process to allow concentration-QTc (C-QTc) modeling to be used as the primary analysis for assessing the QTc interval prolongation risk of new drugs. A well-designed and conducted QTc assessment based on C-QTc modeling in early phase 1 studies can be an alternative approach to a thorough QT study for some drugs to reliably exclude clinically relevant QTc effects. This white paper provides recommendations on how to plan and conduct a definitive QTc assessment of a drug using C-QTc modeling in early phase clinical pharmacology and thorough QT studies. Topics included are: important study design features in a phase 1 study; modeling objectives and approach; exploratory plots; the pre-specified linear mixed effects model; general principles for model development and evaluation; and expectations for modeling analysis plans and reports. The recommendations are based on current best modeling practices, scientific literature and personal experiences of the authors. These recommendations are expected to evolve as their implementation during drug development provides additional data and with advances in analytical methodology.

A Multivariate Model for the Study of Parental Acceptance-Rejection and Child Abuse.

ERIC Educational Resources Information Center

Rohner, Ronald P.; Rohner, Evelyn C.

This paper proposes a multivariate strategy for the study of parental acceptance-rejection and child abuse and describes a research study on parental rejection and child abuse which illustrates the advantages of using a multivariate, (rather than a simple-model) approach. The multivariate model is a combination of three simple models used to study…

A model of scientific attitudes assessment by observation in physics learning based scientific approach: case study of dynamic fluid topic in high school

NASA Astrophysics Data System (ADS)

Yusliana Ekawati, Elvin

2017-01-01

This study aimed to produce a model of scientific attitude assessment in terms of the observations for physics learning based scientific approach (case study of dynamic fluid topic in high school). Development of instruments in this study adaptation of the Plomp model, the procedure includes the initial investigation, design, construction, testing, evaluation and revision. The test is done in Surakarta, so that the data obtained are analyzed using Aiken formula to determine the validity of the content of the instrument, Cronbach’s alpha to determine the reliability of the instrument, and construct validity using confirmatory factor analysis with LISREL 8.50 program. The results of this research were conceptual models, instruments and guidelines on scientific attitudes assessment by observation. The construct assessment instruments include components of curiosity, objectivity, suspended judgment, open-mindedness, honesty and perseverance. The construct validity of instruments has been qualified (rated load factor > 0.3). The reliability of the model is quite good with the Alpha value 0.899 (> 0.7). The test showed that the model fits the theoretical models are supported by empirical data, namely p-value 0.315 (≥ 0.05), RMSEA 0.027 (≤ 0.08)

Toward a Model of Social Influence that Explains Minority Student Integration into the Scientific Community

PubMed Central

Estrada, Mica; Woodcock, Anna; Hernandez, Paul R.; Schultz, P. Wesley

2010-01-01

Students from several ethnic minority groups are underrepresented in the sciences, such that minority students more frequently drop out of the scientific career path than non-minority students. Viewed from a perspective of social influence, this pattern suggests that minority students do not integrate into the scientific community at the same rate as non-minority students. Kelman (1958, 2006) describes a tripartite integration model of social influence (TIMSI) by which a person orients to a social system. To test if this model predicts integration into the scientific community, we conducted analyses of data from a national panel of minority science students. A structural equation model framework showed that self-efficacy (operationalized consistent with Kelman’s ‘rule-orientation’) predicted student intentions to pursue a scientific career. However, when identification as a scientist and internalization of values are added to the model, self-efficacy becomes a poorer predictor of intention. Additional mediation analyses support the conclusion that while having scientific self-efficacy is important, identifying with and endorsing the values of the social system reflect a deeper integration and more durable motivation to persist as a scientist. PMID:21552374

Mediating objects: scientific and public functions of models in nineteenth-century biology.

PubMed

Ludwig, David

2013-01-01

The aim of this article is to examine the scientific and public functions of two- and three-dimensional models in the context of three episodes from nineteenth-century biology. I argue that these models incorporate both data and theory by presenting theoretical assumptions in the light of concrete data or organizing data through theoretical assumptions. Despite their diverse roles in scientific practice, they all can be characterized as mediators between data and theory. Furthermore, I argue that these different mediating functions often reflect their different audiences that included specialized scientists, students, and the general public. In this sense, models in nineteenth-century biology can be understood as mediators between theory, data, and their diverse audiences.

Barcode Technology Acceptance and Utilization in Health Information Management Department at Academic Hospitals According to Technology Acceptance Model

PubMed Central

Ehteshami, Asghar

2017-01-01

Nowdays, due to the increasing importance of quality care, organizations focuse on the improving provision, management and distribution of health. On one hand, incremental costs of the new technologies and on the other hand, increased knowledge of health care recipients and their expectations for high quality services have doubled the need to make changes in order to respond to resource constraints (financial, human, material). For this purpose, several technologies, such as barcode, have been used in hospitals to improve services and staff productivity; but various factors effect on the adoption of new technologies and despite good implementation of a technology and its benefits, sometimes personnel don’t accept and don’t use it. Methods: This is an applied descriptive cross-sectional study in which all the barcode users in health information management department of the three academic hospitals (Feiz, Al-Zahra, Ayatollah Kashani) affiliated to Isfahan University of Medical Sciences were surveyed by the barcode technology acceptance questionnaire, in six areas as following: barcode ease of learning, capabilities, perception of its usefulness and its ease of use, users attitudes towards its using, and users intention. Results: The finding showed that barcode technology total acceptance was relatively desirable (%76.9); the most compliance with TAM model was related to the user perceptions about the ease of use of barcode technology and the least compliance was related to the ease of learning barcode technology (respectively %83.7 and %71.5). Conclusion: Ease of learning and barcode capability effect of usefulness and perceived ease of barcode technology. Users perceptions effect their attitudes toward greater use of technology and their attitudes have an effect on their intention to use the technology and finally, their intention makes actual use of the technology (acceptance). Therefore, considering the six elements related to technology implementation can be

[The Technology Acceptance Model and Its Application in a Telehealth Program for the Elderly With Chronic Illnesses].

PubMed

Chang, Chi-Ping

2015-06-01

Many technology developments hold the potential to improve the quality of life of people and make life easier and more comfortable. New technologies have been well accepted by most people. Information sharing in particular is a major catalyst of change in our current technology-based society. Technology has widely innovated life and drastically changed lifestyles. The Technology Acceptance Model (TAM), a model developed to address the rapid advances in computer technology, is used to explain and predict user acceptance of new information technology. In the past, businesses have used the TAM as an assessment tool to predict user acceptance when introducing new technology products. They have also used external factors in the model to influence user perceptions and beliefs and to ensure the successful spread of new technologies. Informatization plays a critical role in healthcare services. Due to the rapid aging of populations and upward trends in the incidence of chronic illness, requirements for long-term care have increased in both quality and quantity. Therefore, there has been an increased emphasis on integrating healthcare and information technology. However, most elderly are significantly less adept at technology use than the general population. Therefore, we reexamined the effect that the essential concepts in a TAM exerted on technology acceptance. In the present study, the technology acceptance experience with regard to telehealth of the elderly was used as an example to explain how the revised technology acceptance model (TAM 2) may be effectively applied to enhance the understanding of technology care among nurses. The results may serve as a reference for future research on healthcare-technology use in long-term care or in elderly populations.

Acceptance of health information technology in health professionals: an application of the revised technology acceptance model.

PubMed

Ketikidis, Panayiotis; Dimitrovski, Tomislav; Lazuras, Lambros; Bath, Peter A

2012-06-01

The response of health professionals to the use of health information technology (HIT) is an important research topic that can partly explain the success or failure of any HIT application. The present study applied a modified version of the revised technology acceptance model (TAM) to assess the relevant beliefs and acceptance of HIT systems in a sample of health professionals (n = 133). Structured anonymous questionnaires were used and a cross-sectional design was employed. The main outcome measure was the intention to use HIT systems. ANOVA was employed to examine differences in TAM-related variables between nurses and medical doctors, and no significant differences were found. Multiple linear regression analysis was used to assess the predictors of HIT usage intentions. The findings showed that perceived ease of use, but not usefulness, relevance and subjective norms directly predicted HIT usage intentions. The present findings suggest that a modification of the original TAM approach is needed to better understand health professionals' support and endorsement of HIT. Perceived ease of use, relevance of HIT to the medical and nursing professions, as well as social influences, should be tapped by information campaigns aiming to enhance support for HIT in healthcare settings.

The scientific theory profile: A philosophy of science model for science teachers

NASA Astrophysics Data System (ADS)

Loving, Cathleen C.

A model called the Scientific Theory Profile was developed for use with preservice and inservice science teachers or with graduate students interested in the various ways scientific theories are perceived. Early indications - from a survey of institutions with science education programs and a survey of current science methods texts - are that too little emphasis is placed on what contemporary writings reveal about the nature and importance of scientific theories. This prompted the development of the Profile. The Profile consists of a grid, with the x-axis representing methods for judging theories (rational vs. natural), and the y-axis representing views on reigning scientific theories as being the Truth versus models of what works best (realism vs. anti-realism). Three well-known philosophers of science who were selected for detailed analysis and who form the keystone positions on the Profile are Thomas Kuhn, Carl Hempel, and Sir Karl Popper. The hypothesis was that an analysis of the writings of respected individuals in philosophy and history of science who have different perspectives on theories (as well as overarching areas of agreement) could be translated into relative coordinates on a graph; and that this visual model might be helpful to science teachers in developing a balanced philosophy of science and a deeper understanding of the power of reigning theories. Nine other contemporary philosophers, all influenced by the three originals, are included in brief analyses, with their positions on the grid being relative to the keystones. The Scientific Theory Profile then forms the basis for a course, now in the planning stages, in perspectives on the nature of science, primarily for science teachers, with some objectives and activities suggested.

Analysis of the acceptance of autonomous planetary science data collection by field of inquiry

NASA Astrophysics Data System (ADS)

Straub, Jeremy

2015-06-01

The acceptance of autonomous control technologies in planetary science has met significant resistance. Many within this scientific community question the efficacy of autonomous technologies for making decisions regarding what data to collect, how to process it and its processing. These technologies, however, can be used to significantly increase the scientific return on mission investment by removing limitations imposed by communications bandwidth constraints and communications and human decision making delays. A fully autonomous mission, in an ideal case, could be deployed, perform most of the substantive work itself (possibly relying on human assistance for dealing with any unexpected or unexplained occurrences) and return an answer to a scientific question along with data selected to allow scientists to validate software performance. This paper presents the results of a survey of planetary scientists which attempts to identify the root causes of the impediments to the use of this type of technology and identify pathways to its acceptance. Previous work considered planetary science as a single large community. This paper contrasts the differences in acceptance between component fields of planetary science.

View of model of Scientific Instrument Module to be flown on Apollo 15

NASA Technical Reports Server (NTRS)

1970-01-01

Close-up view of a scale model of the Scientific Instrument Module (SIM) to be flown for the first time on the Apollo 15 mission. Mounted in a previously vacant sector of the Apollo service module, the SIM carries specialized cameras and instrumentation for gathering lunar orbit scientific data.

Evolution Acceptance and Epistemological Beliefs of College Biology Students

ERIC Educational Resources Information Center

Borgerding, Lisa A.; Deniz, Hasan; Anderson, Elizabeth Shevock

2017-01-01

Evolutionary theory is central to biology, and scientifically accurate evolution instruction is promoted within national and state standards documents. Previous literature has identified students' epistemological beliefs as potential predictors of evolution acceptance. The present work seeks to explore more directly how student views of evolution…

Improving Scientific Voice in the Science Communication Center at UT Knoxville

ERIC Educational Resources Information Center

Hirst, Russel

2013-01-01

Many science students believe that scientific writing is most impressive (and most professionally acceptable) when impersonal, dense, complex, and packed with jargon. In particular, they have the idea that legitimate scientific writing must suppress the subjectivity of the human voice. But science students can mature into excellent writers whose…

Web Based Semi-automatic Scientific Validation of Models of the Corona and Inner Heliosphere

NASA Astrophysics Data System (ADS)

MacNeice, P. J.; Chulaki, A.; Taktakishvili, A.; Kuznetsova, M. M.

2013-12-01

Validation is a critical step in preparing models of the corona and inner heliosphere for future roles supporting either or both the scientific research community and the operational space weather forecasting community. Validation of forecasting quality tends to focus on a short list of key features in the model solutions, with an unchanging order of priority. Scientific validation exposes a much larger range of physical processes and features, and as the models evolve to better represent features of interest, the research community tends to shift its focus to other areas which are less well understood and modeled. Given the more comprehensive and dynamic nature of scientific validation, and the limited resources available to the community to pursue this, it is imperative that the community establish a semi-automated process which engages the model developers directly into an ongoing and evolving validation process. In this presentation we describe the ongoing design and develpment of a web based facility to enable this type of validation of models of the corona and inner heliosphere, on the growing list of model results being generated, and on strategies we have been developing to account for model results that incorporate adaptively refined numerical grids.

ICT & OTs: a model of information and communications technology acceptance and utilisation by occupational therapists (part 2).

PubMed

Schaper, Louise; Pervan, Graham

2007-01-01

The research reported in this paper describes the development, empirical validation and analysis of a model of technology acceptance by Australian occupational therapists. The study described involved the collection of quantitative data through a national survey. The theoretical significance of this work is that it uses a thoroughly constructed research model, with one of the largest sample sizes ever tested (n=1605), to extend technology acceptance research into the health sector. Results provide strong support for the model. This work reveals the complexity of the constructs and relationships that influence technology acceptance and highlights the need to include sociotechnical and system issues in studies of technology acceptance in healthcare to improve information system implementation success in this arena. The results of this study have practical and theoretical implications for health informaticians and researchers in the field of health informatics and information systems, tertiary educators, Commonwealth and State Governments and the allied health professions.

Stochastic optimization model for order acceptance with multiple demand classes and uncertain demand/supply

NASA Astrophysics Data System (ADS)

Yang, Wen; Fung, Richard Y. K.

2014-06-01

This article considers an order acceptance problem in a make-to-stock manufacturing system with multiple demand classes in a finite time horizon. Demands in different periods are random variables and are independent of one another, and replenishments of inventory deviate from the scheduled quantities. The objective of this work is to maximize the expected net profit over the planning horizon by deciding the fraction of the demand that is going to be fulfilled. This article presents a stochastic order acceptance optimization model and analyses the existence of the optimal promising policies. An example of a discrete problem is used to illustrate the policies by applying the dynamic programming method. In order to solve the continuous problems, a heuristic algorithm based on stochastic approximation (HASA) is developed. Finally, the computational results of a case example illustrate the effectiveness and efficiency of the HASA approach, and make the application of the proposed model readily acceptable.

Acceptability and Feasibility of a Shared Decision-Making Model in Work Rehabilitation: A Mixed-Methods Study of Stakeholders' Perspectives.

PubMed

Coutu, Marie-France; Légaré, France; Durand, Marie-José; Stacey, Dawn; Labrecque, Marie-Elise; Corbière, Marc; Bainbridge, Lesley

2018-04-16

Purpose To establish the acceptability and feasibility of implementing a shared decision-making (SDM) model in work rehabilitation. Methods We used a sequential mixed-methods design with diverse stakeholder groups (representatives of private and public employers, insurers, and unions, as well as workers having participated in a work rehabilitation program). First, a survey using a self-administered questionnaire enabled stakeholders to rate their level of agreement with the model's acceptability and feasibility and propose modifications, if necessary. Second, eight focus groups representing key stakeholders (n = 34) and four one-on-one interviews with workers were conducted, based on the questionnaire results. For each stakeholder group, we computed the percentage of agreement with the model's acceptability and feasibility and performed thematic analyses of the transcripts. Results Less than 50% of each stakeholder group initially agreed with the overall acceptability and feasibility of the model. Stakeholders proposed 37 modifications to the objectives, 17 to the activities, and 39 to improve the model's feasibility. Based on in-depth analysis of the transcripts, indicators were added to one objective, an interview guide was added as proposed by insurers to ensure compliance of the SDM process with insurance contract requirements, and one objective was reformulated. Conclusion Despite initially low agreement with the model's acceptability on the survey, subsequent discussions led to three minor changes and contributed to the model's ultimate acceptability and feasibility. Later steps will involve assessing the extent of implementation of the model in real rehabilitation settings to see if other modifications are necessary before assessing its impact.

Measuring the effectiveness of scientific gatekeeping.

PubMed

Siler, Kyle; Lee, Kirby; Bero, Lisa

2015-01-13

Peer review is the main institution responsible for the evaluation and gestation of scientific research. Although peer review is widely seen as vital to scientific evaluation, anecdotal evidence abounds of gatekeeping mistakes in leading journals, such as rejecting seminal contributions or accepting mediocre submissions. Systematic evidence regarding the effectiveness--or lack thereof--of scientific gatekeeping is scant, largely because access to rejected manuscripts from journals is rarely available. Using a dataset of 1,008 manuscripts submitted to three elite medical journals, we show differences in citation outcomes for articles that received different appraisals from editors and peer reviewers. Among rejected articles, desk-rejected manuscripts, deemed as unworthy of peer review by editors, received fewer citations than those sent for peer review. Among both rejected and accepted articles, manuscripts with lower scores from peer reviewers received relatively fewer citations when they were eventually published. However, hindsight reveals numerous questionable gatekeeping decisions. Of the 808 eventually published articles in our dataset, our three focal journals rejected many highly cited manuscripts, including the 14 most popular; roughly the top 2 percent. Of those 14 articles, 12 were desk-rejected. This finding raises concerns regarding whether peer review is ill--suited to recognize and gestate the most impactful ideas and research. Despite this finding, results show that in our case studies, on the whole, there was value added in peer review. Editors and peer reviewers generally--but not always-made good decisions regarding the identification and promotion of quality in scientific manuscripts.

The acceptance of in silico models for REACH: Requirements, barriers, and perspectives

PubMed Central

2011-01-01

In silico models have prompted considerable interest and debate because of their potential value in predicting the properties of chemical substances for regulatory purposes. The European REACH legislation promotes innovation and encourages the use of alternative methods, but in practice the use of in silico models is still very limited. There are many stakeholders influencing the regulatory trajectory of quantitative structure-activity relationships (QSAR) models, including regulators, industry, model developers and consultants. Here we outline some of the issues and challenges involved in the acceptance of these methods for regulatory purposes. PMID:21982269

XSIM Final Report: Modelling the Past and Future of Identity Management for Scientific Collaborations

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cowles, Robert; Jackson, Craig; Welch, Von

The eXtreme Science Identity Management (XSIM1) research project: collected and analyzed real world data on virtual organization (VO) identity management (IdM) representing the last 15+ years of collaborative DOE science; constructed a descriptive VO IdM model based on that data; used the model and existing trends to project the direction for IdM in the 2020 timeframe; and provided guidance to scientific collaborations and resource providers that are implementing or seeking to improve IdM functionality. XSIM conducted over 20 semi­structured interviews of representatives from scientific collaborations and resource providers, both in the US and Europe; the interviewees supported diverse set ofmore » scientific collaborations and disciplines. We developed a definition of “trust,” a key concept in IdM, to understand how varying trust models affect where IdM functions are performed. The model identifies how key IdM data elements are utilized in collaborative scientific workflows, and it has the flexibility to describe past, present and future trust relationships and IdM implementations. During the funding period, we gave more than two dozen presentations to socialize our work, encourage feedback, and improve the model; we also published four refereed papers. Additionally, we developed, presented, and received favorable feedback on three white papers providing practical advice to collaborations and/or resource providers.« less

The (Surplus) Value of Scientific Communication.

ERIC Educational Resources Information Center

Frohlich, Gerhard

1996-01-01

Discusses research on scientific communication. Topics include theory-less and formal technical/natural scientific models of scientific communication; social-scientific, power-sensitive models; the sociology of scientific communication; sciences as fields of competition; fraud and deception; potential surplus value across subject information…

Articulating uncertainty as part of scientific argumentation during model-based exoplanet detection tasks

NASA Astrophysics Data System (ADS)

Lee, Hee-Sun; Pallant, Amy; Pryputniewicz, Sarah

2015-08-01

Teaching scientific argumentation has emerged as an important goal for K-12 science education. In scientific argumentation, students are actively involved in coordinating evidence with theory based on their understanding of the scientific content and thinking critically about the strengths and weaknesses of the cited evidence in the context of the investigation. We developed a one-week-long online curriculum module called "Is there life in space?" where students conduct a series of four model-based tasks to learn how scientists detect extrasolar planets through the “wobble” and transit methods. The simulation model allows students to manipulate various parameters of an imaginary star and planet system such as planet size, orbit size, planet-orbiting-plane angle, and sensitivity of telescope equipment, and to adjust the display settings for graphs illustrating the relative velocity and light intensity of the star. Students can use model-based evidence to formulate an argument on whether particular signals in the graphs guarantee the presence of a planet. Students' argumentation is facilitated by the four-part prompts consisting of multiple-choice claim, open-ended explanation, Likert-scale uncertainty rating, and open-ended uncertainty rationale. We analyzed 1,013 scientific arguments formulated by 302 high school student groups taught by 7 teachers. We coded these arguments in terms of the accuracy of their claim, the sophistication of explanation connecting evidence to the established knowledge base, the uncertainty rating, and the scientific validity of uncertainty. We found that (1) only 18% of the students' uncertainty rationale involved critical reflection on limitations inherent in data and concepts, (2) 35% of students' uncertainty rationale reflected their assessment of personal ability and knowledge, rather than scientific sources of uncertainty related to the evidence, and (3) the nature of task such as the use of noisy data or the framing of

Analyzing older users' home telehealth services acceptance behavior-applying an Extended UTAUT model.

PubMed

Cimperman, Miha; Makovec Brenčič, Maja; Trkman, Peter

2016-06-01

Although telehealth offers an improved approach to providing healthcare services, its adoption by end users remains slow. With an older population as the main target, these traditionally conservative users pose a big challenge to the successful implementation of innovative telehealth services. The objective of this study was to develop and empirically test a model for predicting the factors affecting older users' acceptance of Home Telehealth Services (HTS). A survey instrument was administered to 400 participants aged 50 years and above from both rural and urban environments in Slovenia. Structural equation modeling was applied to analyze the causal effect of seven hypothesized predicting factors. HTS were introduced as a bundle of functionalities, representing future services that currently do not exist. This enabled users' perceptions to be measured on the conceptual level, rather than attitudes to a specific technical solution. Six relevant predictors were confirmed in older users' HTS acceptance behavior, with Performance Expectancy (r=0.30), Effort Expectancy (r=0.49), Facilitating Conditions (r=0.12), and Perceived Security (r=0.16) having a direct impact on behavioral intention to use HTS. In addition, Computer Anxiety is positioned as an antecedent of Effort Expectancy with a strong negative influence (r=-0.61), and Doctor's Opinion influence showed a strong impact on Performance Expectancy (r=0.31). The results also indicate Social Influence as an irrelevant predictor of acceptance behavior. The model of six predictors yielded 77% of the total variance explained in the final measured Behavioral Intention to Use HTS by older adults. The level at which HTS are perceived as easy to use and manage is the leading acceptance predictor in older users' HTS acceptance. Together with Perceived Usefulness and Perceived Security, these three factors represent the key influence on older people's HTS acceptance behavior. When promoting HTS, interventions should focus

Are opinions based on science: modelling social response to scientific facts.

PubMed

Iñiguez, Gerardo; Tagüeña-Martínez, Julia; Kaski, Kimmo K; Barrio, Rafael A

2012-01-01

As scientists we like to think that modern societies and their members base their views, opinions and behaviour on scientific facts. This is not necessarily the case, even though we are all (over-) exposed to information flow through various channels of media, i.e. newspapers, television, radio, internet, and web. It is thought that this is mainly due to the conflicting information on the mass media and to the individual attitude (formed by cultural, educational and environmental factors), that is, one external factor and another personal factor. In this paper we will investigate the dynamical development of opinion in a small population of agents by means of a computational model of opinion formation in a co-evolving network of socially linked agents. The personal and external factors are taken into account by assigning an individual attitude parameter to each agent, and by subjecting all to an external but homogeneous field to simulate the effect of the media. We then adjust the field strength in the model by using actual data on scientific perception surveys carried out in two different populations, which allow us to compare two different societies. We interpret the model findings with the aid of simple mean field calculations. Our results suggest that scientifically sound concepts are more difficult to acquire than concepts not validated by science, since opposing individuals organize themselves in close communities that prevent opinion consensus.

Scientific Modeling for Inquiring Teachers Network (SMIT'N): The Influence on Elementary Teachers' Views of Nature of Science, Inquiry, and Modeling

ERIC Educational Resources Information Center

Akerson, Valarie L.; Townsend, J. Scott; Donnelly, Lisa A.; Hanson, Deborah L.; Tira, Praweena; White, Orvil

2009-01-01

This paper summarizes the findings from a K-6 professional development program that emphasized scientific inquiry and nature of science within the theme of scientific modeling. During the 2-week summer workshop and follow up school year workshops, the instruction modeled a 5-E learning cycle approach. Pre and posttesting measured teachers' views…

What matters in the classroom: A structural model of standards-based scientific literacy

NASA Astrophysics Data System (ADS)

Shive, Louise E.

For over two decades educators and policy makers have been particularly concerned with student achievement in the wake of A Nation at Risk. A majority of studies indicates that students' family background has the strongest influence on achievement, although characteristics of their teachers and schools have significant impact as well. This study considered achievement in science in particular, investigating the influence of alterable factors within the classroom on students' gains in scientific literacy. Scientific literacy included three elements: content knowledge, scientific process skills, and attitude towards science. Based on a review of the literature on student achievement, a structural equation model was constructed with five latent variables: teacher's education, instructional practices, teacher's attitudes, school's context, and students' scientific literacy. The model was tested using data from the five-month implementation of a standards-based integrated text/technology/laboratory program, Biology: Exploring Life. The sixteen biology teachers completed two pre-implementation surveys, and 664 of their students completed the three pretests and the corresponding posttests. The initial model did not fit well (chi2(80) = 2784.16; chi 2/df = 34.80; GFI = .70; IFI = .49; CFI = .49) and was inadmissible due to the presence of negative variances. After revision of the model, fit improved somewhat (chi2(53) = 1623.97; chi 2/df = 30.64; GFI = .77; IFI = .65; CFI = .65), although a negative variance migrated and persisted. The total effects were greatest for the teacher's attitudes (largely indirect, mediated through instructional practices), followed by school's context, and instructional practices. Teacher's education had the lowest total effects due to almost equal but opposite direct effects (positive) and indirect effects (mediated through instructional practices and teacher's attitudes). The investigator concluded that alterable factors such as teachers

The Acceptance Model of Intuitive Eating: A Comparison of Women in Emerging Adulthood, Early Adulthood, and Middle Adulthood

ERIC Educational Resources Information Center

Augustus-Horvath, Casey L.; Tylka, Tracy L.

2011-01-01

The acceptance model of intuitive eating (Avalos & Tylka, 2006) posits that body acceptance by others helps women appreciate their body and resist adopting an observer's perspective of their body, which contribute to their eating intuitively/adaptively. We extended this model by integrating body mass index (BMI) into its structure and…

Parental Acceptance-Rejection Theory and the Phylogenetic Model.

ERIC Educational Resources Information Center

Rohner, Ronald P.

Guided by specific theoretical and methodological points of view--the phylogenetic perspective and the universalistic approach respectively--this paper reports on a worldwide study of the antecedents and effects of parental acceptance and rejection. Parental acceptance-rejection theory postulates that rejected children throughout our species share…

The Effects of a Modified Treatment Package with and without Feeder Modeling on One Child's Acceptance of Novel Foods

ERIC Educational Resources Information Center

Seiverling, Laura; Harclerode, Whitney; Williams, Keith

2014-01-01

The purpose of this study was to examine if sequential presentation with feeder modeling would lead to an increase in bites accepted of new foods compared to sequential presentation without feeder modeling in a typically developing 4-year-old boy with food selectivity. The participant's acceptance of novel foods increased both in the modeling and…

Scientific Computing Paradigm

NASA Technical Reports Server (NTRS)

VanZandt, John

1994-01-01

The usage model of supercomputers for scientific applications, such as computational fluid dynamics (CFD), has changed over the years. Scientific visualization has moved scientists away from looking at numbers to looking at three-dimensional images, which capture the meaning of the data. This change has impacted the system models for computing. This report details the model which is used by scientists at NASA's research centers.

High School Students "Do" and Learn Science through Scientific Modeling.

ERIC Educational Resources Information Center

Anderson, Susan Smetzer; Farnsworth, Valerie

2000-01-01

This document describes the research project Modeling for Understanding in Science Education (MUSE) which focuses on the improvement of high school students' learning. MUSE research investigated how lower and high achieving students learned to reason, inquire, present, and critique scientific arguments in a genetics course taught during the spring…

SCIENTIFIC UNCERTAINTIES IN ATMOSPHERIC MERCURY MODELS II: SENSITIVITY ANALYSIS IN THE CONUS DOMAIN

EPA Science Inventory

In this study, we present the response of model results to different scientific treatments in an effort to quantify the uncertainties caused by the incomplete understanding of mercury science and by model assumptions in atmospheric mercury models. Two sets of sensitivity simulati...

From Passive Acceptance to Active Commitment: A Model of Feminist Identity Development for Women.

ERIC Educational Resources Information Center

Downing, Nancy E.; Roush, Kristin L.

1985-01-01

Presents a model of feminist identity development for women, derived, in part, from Cross's (1971) theory of Black identity development. The stages in this process include passive acceptance, revelation, embeddedness-emanation, synthesis, and active commitment. Implications of the model are outlined for women, nonsexist and feminist…

Acceptance and Commitment Therapy and Contextual Behavioral Science: Examining the Progress of a Distinctive Model of Behavioral and Cognitive Therapy

PubMed Central

Hayes, Steven C.; Levin, Michael E.; Plumb-Vilardaga, Jennifer; Villatte, Jennifer L.; Pistorello, Jacqueline

2012-01-01

A number of recent authors have compared acceptance and commitment therapy (ACT) and traditional cognitive behavior therapy (CBT). The present article describes ACT as a distinct and unified model of behavior change, linked to a specific strategy of scientific development, which we term “contextual behavioral science.” We outline the empirical progress of ACT and describe its distinctive development strategy. A contextual behavioral science approach is an inductive attempt to build more adequate psychological systems based on philosophical clarity; the development of basic principles and theories; the development of applied theories linked to basic ones; techniques and components linked to these processes and principles; measurement of theoretically key processes; an emphasis on mediation and moderation in the analysis of applied impact; an interest in effectiveness, dissemination, and training; empirical testing of the research program across a broad range of areas and levels of analysis; and the creation of a more effective scientific and clinical community. We argue that this is a reasonable approach, focused on long-term progress, and that in broad terms it seems to be working. ACT is not hostile to traditional CBT, and is not directly buoyed by whatever weaknesses traditional CBT may have. ACT should be measured at least in part against its own goals as specified by its own developmental strategy. PMID:23611068

Acceptance and commitment therapy and contextual behavioral science: examining the progress of a distinctive model of behavioral and cognitive therapy.

PubMed

Hayes, Steven C; Levin, Michael E; Plumb-Vilardaga, Jennifer; Villatte, Jennifer L; Pistorello, Jacqueline

2013-06-01

A number of recent authors have compared acceptance and commitment therapy (ACT) and traditional cognitive behavior therapy (CBT). The present article describes ACT as a distinct and unified model of behavior change, linked to a specific strategy of scientific development, which we term "contextual behavioral science." We outline the empirical progress of ACT and describe its distinctive development strategy. A contextual behavioral science approach is an inductive attempt to build more adequate psychological systems based on philosophical clarity; the development of basic principles and theories; the development of applied theories linked to basic ones; techniques and components linked to these processes and principles; measurement of theoretically key processes; an emphasis on mediation and moderation in the analysis of applied impact; an interest in effectiveness, dissemination, and training; empirical testing of the research program across a broad range of areas and levels of analysis; and the creation of a more effective scientific and clinical community. We argue that this is a reasonable approach, focused on long-term progress, and that in broad terms it seems to be working. ACT is not hostile to traditional CBT, and is not directly buoyed by whatever weaknesses traditional CBT may have. ACT should be measured at least in part against its own goals as specified by its own developmental strategy. Copyright © 2011. Published by Elsevier Ltd.

A participative model for undertaking and evaluating scientific communication in Earth Observation

NASA Astrophysics Data System (ADS)

L'Astorina, Alba; Tomasoni, Irene

2015-04-01

Public communication of Science and Technology (PCST) is an integral part of the mission of the Italian National Research Council (CNR) and widely carried out among the scientific community. Recently it has also become a research field investigating practices, channels, tools and models of public engagement and their impact on the relation between Science and Society. Understanding such aspects is increasingly considered relevant for an effective and aware outreach. Within this context, CNR has adopted some innovative communication approaches addressed to different publics, such as stakeholders, users, media, young people and the general public, using participative methodologies. Besides being practices of communication promoting the scientific culture, such initiatives aim at understanding the models at the basis of the relationship between the scientific community and the public. To what extent do scientists put their communication and involvement strategies in discussion? Do they use to have a real exchange with their publics in order to evaluate the effectiveness of the participatory techniques they adopt in communicating and disseminating their activities? In this paper we present a case study of a communication and educational proposal recently developed by CNR in order to promote a mutual exchange between Education/School and Research, that are the most important actors in the production and the revision of the scientific knowledge. The proposal brings an ongoing CNR research project (its steps, subjects, tools, activities, costs etc) in classrooms, making use of interactive Earth Sciences workshops conducted directly by researchers. The ongoing CNR project shared with students studies Innovative Methodologies of Earth Observation supporting the Agricultural sector in Lombardy. It aims at exploiting the Aerospace Earth Observation (EO) tools to develop dedicated agricultural downstream services that will bring added economic value and benefits for Lombardy

How to respond to referee comments for scientific articles?

PubMed

Kalemci, Mustafa Serdar; Turna, Burak

2013-09-01

Currently, the increasing number of article submissions to scientific journals forces editors to be more selective in their acceptance of papers. Consequently, editors have increased the frequency of their use of scientific referee mechanisms. For many researchers, the publication of a scientific article in a high impact factor journal is a gradual and difficult process. After preparation and submission of a manuscript, one of the most important issue is responding to the comments of referees. However, there is a paucity of published reports in the literature describing how to respond to these comments. The aim of this review is to assist researchers/authors in responding to referee comments as part of the publication process for scientific articles.

Coupling of a continuum ice sheet model and a discrete element calving model using a scientific workflow system

NASA Astrophysics Data System (ADS)

Memon, Shahbaz; Vallot, Dorothée; Zwinger, Thomas; Neukirchen, Helmut

2017-04-01

Scientific communities generate complex simulations through orchestration of semi-structured analysis pipelines which involves execution of large workflows on multiple, distributed and heterogeneous computing and data resources. Modeling ice dynamics of glaciers requires workflows consisting of many non-trivial, computationally expensive processing tasks which are coupled to each other. From this domain, we present an e-Science use case, a workflow, which requires the execution of a continuum ice flow model and a discrete element based calving model in an iterative manner. Apart from the execution, this workflow also contains data format conversion tasks that support the execution of ice flow and calving by means of transition through sequential, nested and iterative steps. Thus, the management and monitoring of all the processing tasks including data management and transfer of the workflow model becomes more complex. From the implementation perspective, this workflow model was initially developed on a set of scripts using static data input and output references. In the course of application usage when more scripts or modifications introduced as per user requirements, the debugging and validation of results were more cumbersome to achieve. To address these problems, we identified a need to have a high-level scientific workflow tool through which all the above mentioned processes can be achieved in an efficient and usable manner. We decided to make use of the e-Science middleware UNICORE (Uniform Interface to Computing Resources) that allows seamless and automated access to different heterogenous and distributed resources which is supported by a scientific workflow engine. Based on this, we developed a high-level scientific workflow model for coupling of massively parallel High-Performance Computing (HPC) jobs: a continuum ice sheet model (Elmer/Ice) and a discrete element calving and crevassing model (HiDEM). In our talk we present how the use of a high

Adverse Outcome Pathways: Moving from a scientific concept to a globally accepted framework

EPA Science Inventory

In 2016, an international multi-sector steering committee focusing on the development of a Society of Environmental Toxicology (SETAC) Pellston Workshop reached out to the membership of the Society of Toxicology as well as other national and international scientific and regulator...

Modeling canopy-level productivity: is the "big-leaf" simplification acceptable?

NASA Astrophysics Data System (ADS)

Sprintsin, M.; Chen, J. M.

2009-05-01

The "big-leaf" approach to calculating the carbon balance of plant canopies assumes that canopy carbon fluxes have the same relative responses to the environment as any single unshaded leaf in the upper canopy. Widely used light use efficiency models are essentially simplified versions of the big-leaf model. Despite its wide acceptance, subsequent developments in the modeling of leaf photosynthesis and measurements of canopy physiology have brought into question the assumptions behind this approach showing that big leaf approximation is inadequate for simulating canopy photosynthesis because of the additional leaf internal control on carbon assimilation and because of the non-linear response of photosynthesis on leaf nitrogen and absorbed light, and changes in leaf microenvironment with canopy depth. To avoid this problem a sunlit/shaded leaf separation approach, within which the vegetation is treated as two big leaves under different illumination conditions, is gradually replacing the "big-leaf" strategy, for applications at local and regional scales. Such separation is now widely accepted as a more accurate and physiologically based approach for modeling canopy photosynthesis. Here we compare both strategies for Gross Primary Production (GPP) modeling using the Boreal Ecosystem Productivity Simulator (BEPS) at local (tower footprint) scale for different land cover types spread over North America: two broadleaf forests (Harvard, Massachusetts and Missouri Ozark, Missouri); two coniferous forests (Howland, Maine and Old Black Spruce, Saskatchewan); Lost Creek shrubland site (Wisconsin) and Mer Bleue petland (Ontario). BEPS calculates carbon fixation by scaling Farquhar's leaf biochemical model up to canopy level with stomatal conductance estimated by a modified version of the Ball-Woodrow-Berry model. The "big-leaf" approach was parameterized using derived leaf level parameters scaled up to canopy level by means of Leaf Area Index. The influence of sunlit

Are Opinions Based on Science: Modelling Social Response to Scientific Facts

PubMed Central

Iñiguez, Gerardo; Tagüeña-Martínez, Julia; Kaski, Kimmo K.; Barrio, Rafael A.

2012-01-01

As scientists we like to think that modern societies and their members base their views, opinions and behaviour on scientific facts. This is not necessarily the case, even though we are all (over-) exposed to information flow through various channels of media, i.e. newspapers, television, radio, internet, and web. It is thought that this is mainly due to the conflicting information on the mass media and to the individual attitude (formed by cultural, educational and environmental factors), that is, one external factor and another personal factor. In this paper we will investigate the dynamical development of opinion in a small population of agents by means of a computational model of opinion formation in a co-evolving network of socially linked agents. The personal and external factors are taken into account by assigning an individual attitude parameter to each agent, and by subjecting all to an external but homogeneous field to simulate the effect of the media. We then adjust the field strength in the model by using actual data on scientific perception surveys carried out in two different populations, which allow us to compare two different societies. We interpret the model findings with the aid of simple mean field calculations. Our results suggest that scientifically sound concepts are more difficult to acquire than concepts not validated by science, since opposing individuals organize themselves in close communities that prevent opinion consensus. PMID:22905117

An Empirical Assessment of a Technology Acceptance Model for Apps in Medical Education.

PubMed

Briz-Ponce, Laura; García-Peñalvo, Francisco José

2015-11-01

The evolution and the growth of mobile applications ("apps") in our society is a reality. This general trend is still upward and the app use has also penetrated the medical education community. However, there is a lot of unawareness of the students' and professionals' point of view about introducing "apps" within Medical School curriculum. The aim of this research is to design, implement and verify that the Technology Acceptance Model (TAM) can be employed to measure and explain the acceptance of mobile technology and "apps" within Medical Education. The methodology was based on a survey distributed to students and medical professionals from University of Salamanca. This model explains 46.7% of behavioral intention to use mobile devise or "apps" for learning and will help us to justify and understand the current situation of introducing "apps" into the Medical School curriculum.

Invariance of an Extended Technology Acceptance Model Across Gender and Age Group

ERIC Educational Resources Information Center

Ahmad, Tunku Badariah Tunku; Madarsha, Kamal Basha; Zainuddin, Ahmad Marzuki; Ismail, Nik Ahmad Hisham; Khairani, Ahmad Zamri; Nordin, Mohamad Sahari

2011-01-01

In this study, we examined the likelihood of a TAME (extended technology acceptance model), in which the interrelationships among computer self-efficacy, perceived usefulness, intention to use and self-reported use of computer-mediated technology were tested. In addition, the gender- and age-invariant of its causal structure were evaluated. The…

Identifying Multiple Levels of Discussion-Based Teaching Strategies for Constructing Scientific Models

ERIC Educational Resources Information Center

Williams, Grant; Clement, John

2015-01-01

This study sought to identify specific types of discussion-based strategies that two successful high school physics teachers using a model-based approach utilized in attempting to foster students' construction of explanatory models for scientific concepts. We found evidence that, in addition to previously documented dialogical strategies that…

[Ghostwriters and commerce of scientific papers on the internet: science at risk].

PubMed

Grieger, Maria Christina Anna

2007-01-01

Frauds in scientific production are not a rare phenomenon, even in the medical field. Among these frauds are some types of authorship misconduct, such as plagiarism and ghostwriting sponsored by pharmaceutical industries. Another type of misconduct, which is particularly detrimental to science, is the e-commerce of scientific works, which has been growing and frequently shown in the press. To analyze the e-commerce of scientific papers and the means by which these services are offered. Eighteen Brazilian web sites that offer elaboration of scientific papers were selected. A request for the elaboration of a final essay for a forged post-graduate course was sent to each of them. The research requested had already been completed, consequently technical, ethical and bibliographical characteristics were already known to the author. Ten enterprises accepted the order and, except for one, they have not objected to the conditions imposed: Field research, approval by an ethics committee on research and use of the Vancouver norms. Six have not replied and two have not accepted the order alleging that they had no co-workers available for the task. E-commerce of scientific papers is a fact which can negatively interfere in the ethical, scientific and professional development of graduate and post-graduate students, as well as in scientific production by adulterating data and information found in literature. A new approach is recommended, especially when evaluating final essays.

Extended TAM Model: Impacts of Convenience on Acceptance and Use of Moodle

ERIC Educational Resources Information Center

Hsu, Hsiao-hui; Chang, Yu-ying

2013-01-01

The increasing online access to courses, programs, and information has shifted the control and responsibility of learning process from instructors to learners. Learners' perceptions of and attitudes toward e-learning constitute a critical factor to the success of such system. The purpose of this study is to take TAM (technology acceptance model)…

The Relationship in Biology between the Nature of Science and Scientific Inquiry

ERIC Educational Resources Information Center

Kremer, Kerstin; Specht, Christiane; Urhahne, Detlef; Mayer, Jürgen

2014-01-01

Informed understandings of nature of science and scientific inquiry are generally accepted goals of biology education. This article points out central features of scientific inquiry with relation to biology and the nature of science in general terms and focuses on the relationship of students' inquiry skills in biology and their beliefs on the…

How do I write a scientific article?-A personal perspective.

PubMed

Lippi, Giuseppe

2017-10-01

Scientific writing is not an easy task. Although there is no single and universally agreed strategy for assembling a successful scientific article, it is undeniable that some basic notions, gathered after decades of experience, may help increasing the chance of acceptance of a scientific manuscript. Therefore, the purpose of this article is to present a personal and arbitrary perspective on how to write a scientific article, entailing a tentative flowchart and a checklist describing the most important aspects characterizing each section of the manuscript. The final suggestion, which can be summarized in one simple and straightforward concept, is that you should always remember that a scientific article is meant to be read by others (i.e., referees and readers) and not by yourself.

Growing complex network of citations of scientific papers: Modeling and measurements

NASA Astrophysics Data System (ADS)

Golosovsky, Michael; Solomon, Sorin

2017-01-01

We consider the network of citations of scientific papers and use a combination of the theoretical and experimental tools to uncover microscopic details of this network growth. Namely, we develop a stochastic model of citation dynamics based on the copying-redirection-triadic closure mechanism. In a complementary and coherent way, the model accounts both for statistics of references of scientific papers and for their citation dynamics. Originating in empirical measurements, the model is cast in such a way that it can be verified quantitatively in every aspect. Such validation is performed by measuring citation dynamics of physics papers. The measurements revealed nonlinear citation dynamics, the nonlinearity being intricately related to network topology. The nonlinearity has far-reaching consequences including nonstationary citation distributions, diverging citation trajectories of similar papers, runaways or "immortal papers" with infinite citation lifetime, etc. Thus nonlinearity in complex network growth is our most important finding. In a more specific context, our results can be a basis for quantitative probabilistic prediction of citation dynamics of individual papers and of the journal impact factor.

Unified Performance and Power Modeling of Scientific Workloads

DOE Office of Scientific and Technical Information (OSTI.GOV)

Song, Shuaiwen; Barker, Kevin J.; Kerbyson, Darren J.

2013-11-17

It is expected that scientific applications executing on future large-scale HPC must be optimized not only in terms of performance, but also in terms of power consumption. As power and energy become increasingly constrained resources, researchers and developers must have access to tools that will allow for accurate prediction of both performance and power consumption. Reasoning about performance and power consumption in concert will be critical for achieving maximum utilization of limited resources on future HPC systems. To this end, we present a unified performance and power model for the Nek-Bone mini-application developed as part of the DOE's CESAR Exascalemore » Co-Design Center. Our models consider the impact of computation, point-to-point communication, and collective communication« less

Applying the Extended Technology Acceptance Model to the Use of Clickers in Student Learning: Some Evidence from Macroeconomics Classes

ERIC Educational Resources Information Center

Wu, Xiaoyu; Gao, Yuan

2011-01-01

This paper applies the extended technology acceptance model (exTAM) in information systems research to the use of clickers in student learning. The technology acceptance model (TAM) posits that perceived ease of use and perceived usefulness of technology influence users' attitudes toward using and intention to use technology. Research subsequent…

A Scientific Method Based upon Research Scientists' Conceptions of Scientific Inquiry.

ERIC Educational Resources Information Center

Reiff, Rebecca; Harwood, William S.; Phillipson, Teddie

For students to develop a more realistic picture of how scientists practice science, there must be well-researched understanding of how scientists do science. A model for the process of scientific inquiry that more closely reflects actual scientific practices can provide a means of dispelling some of the myths about scientific inquiry. This paper…

Research Prototype: Automated Analysis of Scientific and Engineering Semantics

NASA Technical Reports Server (NTRS)

Stewart, Mark E. M.; Follen, Greg (Technical Monitor)

2001-01-01

Physical and mathematical formulae and concepts are fundamental elements of scientific and engineering software. These classical equations and methods are time tested, universally accepted, and relatively unambiguous. The existence of this classical ontology suggests an ideal problem for automated comprehension. This problem is further motivated by the pervasive use of scientific code and high code development costs. To investigate code comprehension in this classical knowledge domain, a research prototype has been developed. The prototype incorporates scientific domain knowledge to recognize code properties (including units, physical, and mathematical quantity). Also, the procedure implements programming language semantics to propagate these properties through the code. This prototype's ability to elucidate code and detect errors will be demonstrated with state of the art scientific codes.

Social trust, risk perceptions and public acceptance of recycled water: testing a social-psychological model.

PubMed

Ross, Victoria L; Fielding, Kelly S; Louis, Winnifred R

2014-05-01

Faced with a severe drought, the residents of the regional city of Toowoomba, in South East Queensland, Australia were asked to consider a potable wastewater reuse scheme to supplement drinking water supplies. As public risk perceptions and trust have been shown to be key factors in acceptance of potable reuse projects, this research developed and tested a social-psychological model of trust, risk perceptions and acceptance. Participants (N = 380) were surveyed a few weeks before a referendum was held in which residents voted against the controversial scheme. Analysis using structural equation modelling showed that the more community members perceived that the water authority used fair procedures (e.g., consulting with the community and providing accurate information), the greater their sense of shared identity with the water authority. Shared social identity in turn influenced trust via increased source credibility, that is, perceptions that the water authority is competent and has the community's interest at heart. The findings also support past research showing that higher levels of trust in the water authority were associated with lower perceptions of risk, which in turn were associated with higher levels of acceptance, and vice versa. The findings have a practical application for improving public acceptance of potable recycled water schemes. Copyright © 2014 Elsevier Ltd. All rights reserved.

User acceptance of a touchless sterile system to control virtual orthodontic study models.

PubMed

Wan Hassan, Wan Nurazreena; Abu Kassim, Noor Lide; Jhawar, Abhishek; Shurkri, Norsyafiqah Mohd; Kamarul Baharin, Nur Azreen; Chan, Chee Seng

2016-04-01

In this article, we present an evaluation of user acceptance of our innovative hand-gesture-based touchless sterile system for interaction with and control of a set of 3-dimensional digitized orthodontic study models using the Kinect motion-capture sensor (Microsoft, Redmond, Wash). The system was tested on a cohort of 201 participants. Using our validated questionnaire, the participants evaluated 7 hand-gesture-based commands that allowed the user to adjust the model in size, position, and aspect and to switch the image on the screen to view the maxillary arch, the mandibular arch, or models in occlusion. Participants' responses were assessed using Rasch analysis so that their perceptions of the usefulness of the hand gestures for the commands could be directly referenced against their acceptance of the gestures. Their perceptions of the potential value of this system for cross-infection control were also evaluated. Most participants endorsed these commands as accurate. Our designated hand gestures for these commands were generally accepted. We also found a positive and significant correlation between our participants' level of awareness of cross infection and their endorsement to use this system in clinical practice. This study supports the adoption of this promising development for a sterile touch-free patient record-management system. Copyright © 2016 American Association of Orthodontists. Published by Elsevier Inc. All rights reserved.

A quiz on "the ethics of accepting gifts from industry".

PubMed

Holm, Richard P

2007-03-01

(1) Cash payments should not be accepted from any health-related industry, which might create a conflict of interest, unless it is payment for legitimate research purposes, and the cash is not for purposes of marketing. (2) Marketing gifts, which benefit the patient, are acceptable as long as they are not of substantial value...like equal or less than $100. (3) Conferences (including a "mo dest" meal) sponsored by industry are acceptable when they serve a genuine educational function, and promote objective and scientific activity. (4) Professional people should understand and appreciate the marketing forces, which are endeavoring to influence our behavior. To interact with marketing people is appropriate, not unethical. However we must not be influenced in any way that would disadvantage our patients.

Computational Simulations and the Scientific Method

NASA Technical Reports Server (NTRS)

Kleb, Bil; Wood, Bill

2005-01-01

As scientific simulation software becomes more complicated, the scientific-software implementor's need for component tests from new model developers becomes more crucial. The community's ability to follow the basic premise of the Scientific Method requires independently repeatable experiments, and model innovators are in the best position to create these test fixtures. Scientific software developers also need to quickly judge the value of the new model, i.e., its cost-to-benefit ratio in terms of gains provided by the new model and implementation risks such as cost, time, and quality. This paper asks two questions. The first is whether other scientific software developers would find published component tests useful, and the second is whether model innovators think publishing test fixtures is a feasible approach.

Gender Differences in Teacher Computer Acceptance

ERIC Educational Resources Information Center

Yuen, Allan H. K.; Ma, Will W. K.

2002-01-01

Teachers' computer acceptance is an important factor to the successful use of computers in education. This article explores the gender differences in teacher computer acceptance. The Technology Acceptance Model (TAM) was used as the framework to determine if such differences are present. Survey questionnaires were administered to 186 preservice…

Evaluation of teledermatology adoption by health-care professionals using a modified Technology Acceptance Model.

PubMed

Orruño, Estibalitz; Gagnon, Marie Pierre; Asua, José; Ben Abdeljelil, Anis

2011-01-01

We examined the main factors affecting the intention of physicians to use teledermatology using a modified Technology Acceptance Model (TAM). The investigation was carried out during a teledermatology pilot study conducted in Spain. A total of 276 questionnaires were sent to physicians by email and 171 responded (62%). Cronbach's alpha was acceptably high for all constructs. Theoretical variables were well correlated with each other and with the dependent variable (Intention to Use). Logistic regression indicated that the original TAM model was good at predicting physicians' intention to use teledermatology and that the variables Perceived Usefulness and Perceived Ease of Use were both significant (odds ratios of 8.4 and 7.4, respectively). When other theoretical variables were added, the model was still significant and it also became more powerful. However, the only significant predictor in the modified model was Facilitators with an odds ratio of 9.9. Thus the TAM was good at predicting physicians' intention to use teledermatology. However, the most important variable was the perception of Facilitators to using the technology (e.g. infrastructure, training and support).

Herbal medicine development: a plea for a rigorous scientific foundation.

PubMed

Lietman, Paul S

2012-09-01

Science, including rigorous basic scientific research and rigorous clinical research, must underlie both the development and the clinical use of herbal medicines. Yet almost none of the hundreds or thousands of articles that are published each year on some aspect of herbal medicines, adheres to 3 simple but profound scientific principles must underlie all of herbal drug development or clinical use. Three fundamental principles that should underlie everyone's thinking about the development and/or clinical use of any herbal medicine. (1) There must be standardization and regulation (rigorously enforced) of the product being studied or being used clinically. (2) There must be scientific proof of a beneficial clinical effect for something of value to the patient and established by rigorous clinical research. (3) There must be scientific proof of safety (acceptable toxicity) for the patient and established by rigorous clinical research. These fundamental principles of science have ramifications for both the scientist and the clinician. It is critically important that both the investigator and the prescriber know exactly what is in the studied or recommended product and how effective and toxic it is. We will find new and useful drugs from natural sources. However, we will have to learn how to study herbal medicines rigorously, and we will have to try to convince the believers in herbal medicines of the wisdom and even the necessity of a rigorous scientific approach to herbal medicine development. Both biomedical science and practicing physicians must enthusiastically accept the responsibility for searching for truth in the discovery and development of new herbal medicines, in the truthful teaching about herbal medicines from a scientific perspective, and in the scientifically proven clinical use of herbal medicines.

Adolescents' unconditional acceptance by parents and teachers and educational outcomes: A structural model of gender differences.

PubMed

Makri-Botsari, Evi

2015-08-01

The purpose of this study was to detect gender specific patterns in the network of relations between unconditionality of parental and teacher acceptance in the form of unconditional positive regard and a range of educational outcomes, as indexed by academic self-perception, academic intrinsic motivation, and academic achievement. To test the role of gender as a moderator, a multi-group analysis was employed within the framework of structural equation modelling with increasing restrictions placed on the structural paths across genders. The results on a sample of 427 adolescents in grades 7-9 showed that conditionality of acceptance undermined level of perceived acceptance for both social agents. Moreover, unconditionality of teacher acceptance exerted stronger influences on students' educational outcomes than unconditionality of parental acceptance, with effect sizes being larger for girls than for boys. Copyright © 2015 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Factors influencing acceptance of technology for aging in place: a systematic review.

PubMed

Peek, Sebastiaan T M; Wouters, Eveline J M; van Hoof, Joost; Luijkx, Katrien G; Boeije, Hennie R; Vrijhoef, Hubertus J M

2014-04-01

To provide an overview of factors influencing the acceptance of electronic technologies that support aging in place by community-dwelling older adults. Since technology acceptance factors fluctuate over time, a distinction was made between factors in the pre-implementation stage and factors in the post-implementation stage. A systematic review of mixed studies. Seven major scientific databases (including MEDLINE, Scopus and CINAHL) were searched. Inclusion criteria were as follows: (1) original and peer-reviewed research, (2) qualitative, quantitative or mixed methods research, (3) research in which participants are community-dwelling older adults aged 60 years or older, and (4) research aimed at investigating factors that influence the intention to use or the actual use of electronic technology for aging in place. Three researchers each read the articles and extracted factors. Sixteen out of 2841 articles were included. Most articles investigated acceptance of technology that enhances safety or provides social interaction. The majority of data was based on qualitative research investigating factors in the pre-implementation stage. Acceptance in this stage is influenced by 27 factors, divided into six themes: concerns regarding technology (e.g., high cost, privacy implications and usability factors); expected benefits of technology (e.g., increased safety and perceived usefulness); need for technology (e.g., perceived need and subjective health status); alternatives to technology (e.g., help by family or spouse), social influence (e.g., influence of family, friends and professional caregivers); and characteristics of older adults (e.g., desire to age in place). When comparing these results to qualitative results on post-implementation acceptance, our analysis showed that some factors are persistent while new factors also emerge. Quantitative results showed that a small number of variables have a significant influence in the pre-implementation stage. Fourteen out of

Parental modelling and prompting effects on acceptance of a novel fruit in 2-4-year-old children are dependent on children's food responsiveness.

PubMed

Blissett, Jackie; Bennett, Carmel; Fogel, Anna; Harris, Gillian; Higgs, Suzanne

2016-02-14

Few children consume the recommended portions of fruit or vegetables. This study examined the effects of parental physical prompting and parental modelling in children's acceptance of a novel fruit (NF) and examined the role of children's food-approach and food-avoidance traits on NF engagement and consumption. A total of 120 caregiver-child dyads (fifty-four girls, sixty-six boys) participated in this study. Dyads were allocated to one of the following three conditions: physical prompting but no modelling, physical prompting and modelling or a modelling only control condition. Dyads ate a standardised meal containing a portion of a fruit new to the child. Parents completed measures of children's food approach and avoidance. Willingness to try the NF was observed, and the amount of the NF consumed was measured. Physical prompting but no modelling resulted in greater physical refusal of the NF. There were main effects of enjoyment of food and food fussiness on acceptance. Food responsiveness interacted with condition such that children who were more food responsive had greater NF acceptance in the prompting and modelling conditions in comparison with the modelling only condition. In contrast, children with low food responsiveness had greater acceptance in the modelling control condition than in the prompting but no modelling condition. Physical prompting in the absence of modelling is likely to be detrimental to NF acceptance. Parental use of physical prompting strategies, in combination with modelling of NF intake, may facilitate acceptance of NF, but only in food-responsive children. Modelling consumption best promotes acceptance in children with low food responsiveness.

Enhancing endorsement of scientific inquiry increases support for pro-environment policies.

PubMed

Drummond, Aaron; Palmer, Matthew A; Sauer, James D

2016-09-01

Pro-environment policies require public support and engagement, but in countries such as the USA, public support for pro-environment policies remains low. Increasing public scientific literacy is unlikely to solve this, because increased scientific literacy does not guarantee increased acceptance of critical environmental issues (e.g. that climate change is occurring). We distinguish between scientific literacy (basic scientific knowledge) and endorsement of scientific inquiry (perceiving science as a valuable way of accumulating knowledge), and examine the relationship between people's endorsement of scientific inquiry and their support for pro-environment policy. Analysis of a large, publicly available dataset shows that support for pro-environment policies is more strongly related to endorsement of scientific inquiry than to scientific literacy among adolescents. An experiment demonstrates that a brief intervention can increase support for pro-environment policies via increased endorsement of scientific inquiry among adults. Public education about the merits of scientific inquiry may facilitate increased support for pro-environment policies.

Enhancing endorsement of scientific inquiry increases support for pro-environment policies

PubMed Central

Palmer, Matthew A.; Sauer, James D.

2016-01-01

Pro-environment policies require public support and engagement, but in countries such as the USA, public support for pro-environment policies remains low. Increasing public scientific literacy is unlikely to solve this, because increased scientific literacy does not guarantee increased acceptance of critical environmental issues (e.g. that climate change is occurring). We distinguish between scientific literacy (basic scientific knowledge) and endorsement of scientific inquiry (perceiving science as a valuable way of accumulating knowledge), and examine the relationship between people's endorsement of scientific inquiry and their support for pro-environment policy. Analysis of a large, publicly available dataset shows that support for pro-environment policies is more strongly related to endorsement of scientific inquiry than to scientific literacy among adolescents. An experiment demonstrates that a brief intervention can increase support for pro-environment policies via increased endorsement of scientific inquiry among adults. Public education about the merits of scientific inquiry may facilitate increased support for pro-environment policies. PMID:27703700

Modeling the Uptake of Scientific Information by the Public and Opinion Flow in Society (Invited)

NASA Astrophysics Data System (ADS)

Lewandowsky, S.; Brown, G. D.; Cook, J.

2013-12-01

Improved communication of scientific findings requires knowledge not only of how people process information, but also how such information spreads through society and how people's opinions are shaped by those of others. Recent advances in cognitive science have yielded mathematical modeling techniques that permit the detailed analysis of individuals' cognition as well as the behavior of communities in the aggregate. We present two case studies that highlight the insights that can be derived from mathematical models of cognition: We show how rational processing of information (i.e., Bayesian hypothesis revision) can nonetheless give rise to seemingly 'irrational' belief updating, as for example when acceptance of human-caused global warming decreases among conservatives in response to evidence for human-caused global warming. We also show in an agent-based simulation how social norms can lead to polarization of societies. The model assumes that agents located within a social network observe the behavior of neighbours and infer from their behavior the social distribution of particular attitudes (e.g. towards climate change). Agents are assumed to dislike behaviours that are extreme within their neighbourhood (social extremeness aversion), and hence have a tendency to conform. However, agents are also assumed to prefer choices that are consistent with their own true beliefs (authenticity preference). Expression of attitudes reflects a compromise between these opposing principles. The model sheds light on the role of perceived rather than actual social consensus on attitudes to climate change. This is particularly relevant given the widespread perception among those who reject climate science that the percentage of the public that is sharing their beliefs is much higher than it actually is.

Risk, Scientific Uncertainty, and Policy Implications of Global Climate Change Models

NASA Astrophysics Data System (ADS)

Briggs, C.; Sahagian, D.

2006-12-01

The risks of global climate change to human populations and natural environments have received increasing attention in recent years. With high-profile events such as hurricane Katrina in the United States, rapid melting of the Greenland ice sheet, shifting precipitation patterns in Europe and elsewhere, more political attention has been given to the risks posed by anthropogenic changes in the earth's atmosphere. Yet despite increasing scientific evidence of such environmental risks, reactions from political sources have been far from consistent. While some states have adopted emissions regulations on greenhouse gases, other states or national governments have downplayed the existence of any significant risk. Explanations for why political actors or the public may appear unaware of scientific data relate to the nature of uncertainty in environmental risk models and decisions. Professional scientific methodologies must approach uncertainty in a far different manner than government agencies or members of the public, and these varying types of uncertainty create spaces for translation of scientific data into incompatible conclusions. Such conclusions depend not only upon the translation of scientific data, but also perception of the risks involved, differential local impacts of climate change, and available policy alternatives and resources. Scientists involved in climate research bear a particular responsibility for how their data are interpreted politically, but this requires awareness of the manners in which uncertainty is employed, the ethics of applying research to policy questions, and realization that risks will be perceived differently according to political cultures and geographic regions.

Modeling Aspects Of Nature Of Science To Preservice Elementary Teachers

NASA Astrophysics Data System (ADS)

Ashcraft, Paul

2007-01-01

Nature of science was modeled using guided inquiry activities in the university classroom with elementary education majors. A physical science content course initially used an Aristotelian model where students discussed the relationship between distance from a constant radiation source and the amount of radiation received based on accepted ``truths'' or principles and concluded that there was an inverse relationship. The class became Galilean in nature, using the scientific method to test that hypothesis. Examining data, the class rejected their hypothesis and concluded that there is an inverse square relationship. Assignments, given before and after the hypothesis testing, show the student's misconceptions and their acceptance of scientifically acceptable conceptions. Answers on exam questions further support this conceptual change. Students spent less class time on the inverse square relationship later when examining electrostatic force, magnetic force, gravity, and planetary solar radiation because the students related this particular experience to other physical relationships.

A Qualitative Case Study to Investigate the Technology Acceptance Experience Outlined in the TAM Using the Kubler-Ross Stages of Grieving and Acceptance

ERIC Educational Resources Information Center

Sotelo, Benjamin Eladio

2015-01-01

The Technology Acceptance Model (TAM) has been an important model for the understanding of end user acceptance regarding technology and a framework used in thousands of researched scenarios since publication in 1986. Similarly, the Kubler-Ross model of death and dying has also been used as a model for the study of acceptance within the medical…

Acceptability of GM foods among Pakistani consumers.

PubMed

Ali, Akhter; Rahut, Dil Bahadur; Imtiaz, Muhammad

2016-04-02

In Pakistan majority of the consumers do not have information about genetically modified (GM) foods. In developing countries particularly in Pakistan few studies have focused on consumers' acceptability about GM foods. Using comprehensive primary dataset collected from 320 consumers in 2013 from Pakistan, this study analyzes the determinants of consumers' acceptability of GM foods. The data was analyzed by employing the bivariate probit model and censored least absolute deviation (CLAD) models. The empirical results indicated that urban consumers are more aware of GM foods compared to rural consumers. The acceptance of GM foods was more among females' consumers as compared to male consumers. In addition, the older consumers were more willing to accept GM food compared to young consumers. The acceptability of GM foods was also higher among wealthier households. Low price is the key factor leading to the acceptability of GM foods. The acceptability of the GM foods also reduces the risks among Pakistani consumers.

Acceptability of GM foods among Pakistani consumers

PubMed Central

Ali, Akhter; Rahut, Dil Bahadur; Imtiaz, Muhammad

2016-01-01

ABSTRACT In Pakistan majority of the consumers do not have information about genetically modified (GM) foods. In developing countries particularly in Pakistan few studies have focused on consumers' acceptability about GM foods. Using comprehensive primary dataset collected from 320 consumers in 2013 from Pakistan, this study analyzes the determinants of consumers' acceptability of GM foods. The data was analyzed by employing the bivariate probit model and censored least absolute deviation (CLAD) models. The empirical results indicated that urban consumers are more aware of GM foods compared to rural consumers. The acceptance of GM foods was more among females' consumers as compared to male consumers. In addition, the older consumers were more willing to accept GM food compared to young consumers. The acceptability of GM foods was also higher among wealthier households. Low price is the key factor leading to the acceptability of GM foods. The acceptability of the GM foods also reduces the risks among Pakistani consumers. PMID:27494790

OTM Machine Acceptance: In the Arab Culture

NASA Astrophysics Data System (ADS)

Rashed, Abdullah; Santos, Henrique

Basically, neglecting the human factor is one of the main reasons for system failures or for technology rejection, even when important technologies are considered. Biometrics mostly have the characteristics needed for effortless acceptance, such as easiness and usefulness, that are essential pillars of acceptance models such as TAM (technology acceptance model). However, it should be investigated. Many studies have been carried out to research the issues of technology acceptance in different cultures, especially the western culture. Arabic culture lacks these types of studies with few publications in this field. This paper introduces a new biometric interface for ATM machines. This interface depends on a promising biometrics which is odour. To discover the acceptance of this biometrics, we distributed a questionnaire via a web site and called for participation in the Arab Area and found that most respondents would accept to use odour.

Status of Standards Implementation in Anchorage Secondary Schools: A Concerns Based Acceptance Model (CBAM) Review, 2001-2002.

ERIC Educational Resources Information Center

Fenton, Ray

The Concerns Based Acceptance Model (CBAM) has been a key element in developing and assessing the implementation of science and mathematics programs over the past 20 years. CBAM provides an organized approach to assessing where people stand as they learn about, and accept, changes in organizations. This study examined the status of the adoption of…

Stress exposure and generation: A conjoint longitudinal model of body dysmorphic symptoms, peer acceptance, popularity, and victimization.

PubMed

Webb, Haley J; Zimmer-Gembeck, Melanie J; Mastro, Shawna

2016-09-01

This study examined the bidirectional (conjoint) longitudinal pathways linking adolescents' body dysmorphic disorder (BDD) symptoms with self- and peer-reported social functioning. Participants were 367 Australian students (45.5% boys, mean age=12.01 years) who participated in two waves of a longitudinal study with a 12-month lag between assessments. Participants self-reported their symptoms characteristic of BDD, and perception of peer acceptance. Classmates reported who was popular and victimized in their grade, and rated their liking (acceptance) of their classmates. In support of both stress exposure and stress generation models, T1 victimization was significantly associated with more symptoms characteristic of BDD at T2 relative to T1, and higher symptom level at T1 was associated with lower perceptions of peer acceptance at T2 relative to T1. These results support the hypothesized bidirectional model, whereby adverse social experiences negatively impact symptoms characteristic of BDD over time, and symptoms also exacerbate low perceptions of peer-acceptance. Copyright © 2016 Elsevier Ltd. All rights reserved.

Modeling nurses' attitude toward using automated unit-based medication storage and distribution systems: an extension of the technology acceptance model.

PubMed

Escobar-Rodríguez, Tomás; Romero-Alonso, María Mercedes

2013-05-01

This article analyzes the attitude of nurses toward the use of automated unit-based medication storage and distribution systems and identifies influencing factors. Understanding these factors provides an opportunity to explore actions that might be taken to boost adoption by potential users. The theoretical grounding for this research is the Technology Acceptance Model. The Technology Acceptance Model specifies the causal relationships between perceived usefulness, perceived ease of use, attitude toward using, and actual usage behavior. The research model has six constructs, and nine hypotheses were generated from connections between these six constructs. These constructs include perceived risks, experience level, and training. The findings indicate that these three external variables are related to the perceived ease of use and perceived usefulness of automated unit-based medication storage and distribution systems, and therefore, they have a significant influence on attitude toward the use of these systems.

Scientific Reproducibility in Biomedical Research: Provenance Metadata Ontology for Semantic Annotation of Study Description.

PubMed

Sahoo, Satya S; Valdez, Joshua; Rueschman, Michael

2016-01-01

Scientific reproducibility is key to scientific progress as it allows the research community to build on validated results, protect patients from potentially harmful trial drugs derived from incorrect results, and reduce wastage of valuable resources. The National Institutes of Health (NIH) recently published a systematic guideline titled "Rigor and Reproducibility " for supporting reproducible research studies, which has also been accepted by several scientific journals. These journals will require published articles to conform to these new guidelines. Provenance metadata describes the history or origin of data and it has been long used in computer science to capture metadata information for ensuring data quality and supporting scientific reproducibility. In this paper, we describe the development of Provenance for Clinical and healthcare Research (ProvCaRe) framework together with a provenance ontology to support scientific reproducibility by formally modeling a core set of data elements representing details of research study. We extend the PROV Ontology (PROV-O), which has been recommended as the provenance representation model by World Wide Web Consortium (W3C), to represent both: (a) data provenance, and (b) process provenance. We use 124 study variables from 6 clinical research studies from the National Sleep Research Resource (NSRR) to evaluate the coverage of the provenance ontology. NSRR is the largest repository of NIH-funded sleep datasets with 50,000 studies from 36,000 participants. The provenance ontology reuses ontology concepts from existing biomedical ontologies, for example the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), to model the provenance information of research studies. The ProvCaRe framework is being developed as part of the Big Data to Knowledge (BD2K) data provenance project.

Scientific Reproducibility in Biomedical Research: Provenance Metadata Ontology for Semantic Annotation of Study Description

PubMed Central

Sahoo, Satya S.; Valdez, Joshua; Rueschman, Michael

2016-01-01

Scientific reproducibility is key to scientific progress as it allows the research community to build on validated results, protect patients from potentially harmful trial drugs derived from incorrect results, and reduce wastage of valuable resources. The National Institutes of Health (NIH) recently published a systematic guideline titled “Rigor and Reproducibility “ for supporting reproducible research studies, which has also been accepted by several scientific journals. These journals will require published articles to conform to these new guidelines. Provenance metadata describes the history or origin of data and it has been long used in computer science to capture metadata information for ensuring data quality and supporting scientific reproducibility. In this paper, we describe the development of Provenance for Clinical and healthcare Research (ProvCaRe) framework together with a provenance ontology to support scientific reproducibility by formally modeling a core set of data elements representing details of research study. We extend the PROV Ontology (PROV-O), which has been recommended as the provenance representation model by World Wide Web Consortium (W3C), to represent both: (a) data provenance, and (b) process provenance. We use 124 study variables from 6 clinical research studies from the National Sleep Research Resource (NSRR) to evaluate the coverage of the provenance ontology. NSRR is the largest repository of NIH-funded sleep datasets with 50,000 studies from 36,000 participants. The provenance ontology reuses ontology concepts from existing biomedical ontologies, for example the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), to model the provenance information of research studies. The ProvCaRe framework is being developed as part of the Big Data to Knowledge (BD2K) data provenance project. PMID:28269904

How do I write a scientific article?—A personal perspective

PubMed Central

2017-01-01

Scientific writing is not an easy task. Although there is no single and universally agreed strategy for assembling a successful scientific article, it is undeniable that some basic notions, gathered after decades of experience, may help increasing the chance of acceptance of a scientific manuscript. Therefore, the purpose of this article is to present a personal and arbitrary perspective on how to write a scientific article, entailing a tentative flowchart and a checklist describing the most important aspects characterizing each section of the manuscript. The final suggestion, which can be summarized in one simple and straightforward concept, is that you should always remember that a scientific article is meant to be read by others (i.e., referees and readers) and not by yourself. PMID:29152516

A fuzzy inventory model with acceptable shortage using graded mean integration value method

NASA Astrophysics Data System (ADS)

Saranya, R.; Varadarajan, R.

2018-04-01

In many inventory models uncertainty is due to fuzziness and fuzziness is the closed possible approach to reality. In this paper, we proposed a fuzzy inventory model with acceptable shortage which is completely backlogged. We fuzzily the carrying cost, backorder cost and ordering cost using Triangular and Trapezoidal fuzzy numbers to obtain the fuzzy total cost. The purpose of our study is to defuzzify the total profit function by Graded Mean Integration Value Method. Further a numerical example is also given to demonstrate the developed crisp and fuzzy models.

Psyche Mission: Scientific Models and Instrument Selection

NASA Astrophysics Data System (ADS)

Polanskey, C. A.; Elkins-Tanton, L. T.; Bell, J. F., III; Lawrence, D. J.; Marchi, S.; Park, R. S.; Russell, C. T.; Weiss, B. P.

2017-12-01

NASA has chosen to explore (16) Psyche with their 14th Discovery-class mission. Psyche is a 226-km diameter metallic asteroid hypothesized to be the exposed core of a planetesimal that was stripped of its rocky mantle by multiple hit and run collisions in the early solar system. The spacecraft launch is planned for 2022 with arrival at the asteroid in 2026 for 21 months of operations. The Psyche investigation has five primary scientific objectives: A. Determine whether Psyche is a core, or if it is unmelted material. B. Determine the relative ages of regions of Psyche's surface. C. Determine whether small metal bodies incorporate the same light elements as are expected in the Earth's high-pressure core. D. Determine whether Psyche was formed under conditions more oxidizing or more reducing than Earth's core. E. Characterize Psyche's topography. The mission's task was to select the appropriate instruments to meet these objectives. However, exploring a metal world, rather than one made of ice, rock, or gas, requires development of new scientific models for Psyche to support the selection of the appropriate instruments for the payload. If Psyche is indeed a planetary core, we expect that it should have a detectable magnetic field. However, the strength of the magnetic field can vary by orders of magnitude depending on the formational history of Psyche. The implications of both the extreme low-end and the high-end predictions impact the magnetometer and mission design. For the imaging experiment, what can the team expect for the morphology of a heavily impacted metal body? Efforts are underway to further investigate the differences in crater morphology between high velocity impacts into metal and rock to be prepared to interpret the images of Psyche when they are returned. Finally, elemental composition measurements at Psyche using nuclear spectroscopy encompass a new and unexplored phase space of gamma-ray and neutron measurements. We will present some end

A Model for Enabling an Effective Outcome-Oriented Communication between the Scientific and Educational Communities

ERIC Educational Resources Information Center

Ledley, Tamara Shapiro; Taber, Michael R.; Lynds, Susan; Domenico, Ben; Dahlman, LuAnn

2012-01-01

Traditionally, there has been a large gap between the scientific and educational communities in terms of communication, which hinders the transfer of new scientific knowledge to teachers and students and the understanding of each other's needs and capabilities. In this paper, we describe a workshop model we have developed to facilitate…

Public perception and communication of scientific uncertainty.

PubMed

Broomell, Stephen B; Kane, Patrick Bodilly

2017-02-01

Understanding how the public perceives uncertainty in scientific research is fundamental for effective communication about research and its inevitable uncertainty. Previous work found that scientific evidence differentially influenced beliefs from individuals with different political ideologies. Evidence that threatens an individual's political ideology is perceived as more uncertain than nonthreatening evidence. The authors present 3 studies examining perceptions of scientific uncertainty more broadly by including sciences that are not politically polarizing. Study 1 develops scales measuring perceptions of scientific uncertainty. It finds (a) 3 perceptual dimensions of scientific uncertainty, with the primary dimension representing a perception of precision; (b) the precision dimension of uncertainty is strongly associated with the perceived value of a research field; and (c) differences in perceived uncertainty across political affiliations. Study 2 manipulated these dimensions, finding that Republicans were more sensitive than Democrats to descriptions of uncertainty associated with a research field (e.g., psychology). Study 3 found that these views of a research field did not extend to the evaluation of individual results produced by the field. Together, these studies show that perceptions of scientific uncertainty associated with entire research fields are valid predictors of abstract perceptions of scientific quality, benefit, and allocation of funding. Yet, they do not inform judgments about individual results. Therefore, polarization in the acceptance of specific results is not likely due to individual differences in perceived scientific uncertainty. Further, the direction of influence potentially could be reversed, such that perceived quality of scientific results could be used to influence perceptions about scientific research fields. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Investigating Students' Acceptance and Self-Efficacy of E-Learning at Al-Aqsa University Based on TAM Model

ERIC Educational Resources Information Center

Mahdi, Hasan Rebhi

2014-01-01

The study aimed at investigating the influence of E-learning Self-Efficacy (ELSE) on the acceptance of e-learning by using the Technology Acceptance Model (TAM). According to the TAM which used as the theoretical basis, both of the Perceived Usefulness (PU) and the Perceived Ease of Use (PEOU) influence directly the end user's Behavioral Intention…

Evaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model

ERIC Educational Resources Information Center

Nagy, Judit T.

2018-01-01

The aim of the study was to examine the determining factors of students' video usage and their learning satisfaction relating to the supplementary application of educational videos, accessible in a Moodle environment in a Business Mathematics Course. The research model is based on the extension of "Technology Acceptance Model" (TAM), in…

What Is Scientific Thinking?

ERIC Educational Resources Information Center

Tweney, Ryan D.

Drawing parallels with critical thinking and creative thinking, this document describes some ways that scientific thinking is utilized. Cognitive approaches to scientific thinking are discussed, and it is argued that all science involves an attempt to construct a testable mental model of some aspect of reality. The role of mental models is…

Willingness and acceptability of cervical cancer screening among HIV positive Nigerian women

PubMed Central

2013-01-01

Background The proven benefit of integrating cervical cancer screening programme into HIV care has led to its adoption as a standard of care. However this is not operational in most HIV clinics in Nigeria. Of the various reasons given for non-implementation, none is backed by scientific evidence. This study was conducted to assess the willingness and acceptability of cervical cancer screening among HIV positive Nigerian women. Methods A cross sectional study of HIV positive women attending a large HIV treatment centre in Lagos, Nigeria. Respondents were identified using stratified sampling method. A pretested questionnaire was used to obtain information by trained research assistants. Obtained information were coded and managed using SPSS for windows version 19. Multivariate logistic regression model was used to determine independent predictor for acceptance of cervical cancer screening. Results Of the 1517 respondents that returned completed questionnaires, 853 (56.2%) were aware of cervical cancer. Though previous cervical cancer screening was low at 9.4%, 79.8% (1210) accepted to take the test. Cost of the test (35.2%) and religious denial (14.0%) were the most common reasons given for refusal to take the test. After controlling for confounding variables in a multivariate logistic regression model, having a tertiary education (OR = 1.4; 95% CI: 1.03-1.84), no living child (OR: 1.5; 95% CI: 1.1-2.0), recent HIV diagnosis (OR: 1.5; 95% CI: 1.1-2.0) and being aware of cervical cancer (OR: 1.5; 95% CI: 1.2-2.0) retained independent association with acceptance to screen for cervical cancer. Conclusions The study shows that HIV positive women in our environment are willing to screen for cervical cancer and that the integration of reproductive health service into existing HIV programmes will strengthen rather than disrupt the services. PMID:23327453

Future HIV Vaccine Acceptability among Young Adults in South Africa

ERIC Educational Resources Information Center

Sayles, Jennifer N.; Macphail, Catherine L.; Newman, Peter A.; Cunningham, William E.

2010-01-01

Developing and disseminating a preventive HIV vaccine is a primary scientific and public health objective. However, little is known about HIV vaccine acceptability in the high-prevalence setting of South Africa--where young adults are likely to be targeted in early dissemination efforts. This study reports on six focus groups (n = 42) conducted in…

Tax Exempt Organizations and Commercially Sponsored Scientific Research.

ERIC Educational Resources Information Center

Kertz, Consuelo Lauda

1982-01-01

Several related tax issues important to both the commercial sponsors and tax-exempt recipients of research funding are addressed: what type of activity qualified as scientific research; how acceptance of commercial funding affects tax-exempt status; and when the receipt of such funding generates a liability for tax on unrelated business income.…

A reference model for scientific information interchange

NASA Technical Reports Server (NTRS)

Reich, Lou; Sawyer, Don; Davis, Randy

1993-01-01

This paper presents an overview of an Information Interchange Reference Model (IIRM) currently being developed by individuals participating in the Consultative Committee for Space Data Systems (CCSDS) Panel 2, the Planetary Data Systems (PDS), and the Committee on Earth Observing Satellites (CEOS). This is an ongoing research activity and is not an official position by these bodies. This reference model provides a framework for describing and assessing current and proposed methodologies for information interchange within and among the space agencies. It is hoped that this model will improve interoperability between the various methodologies. As such, this model attempts to address key information interchange issues as seen by the producers and users of space-related data and to put them into a coherent framework. Information is understood as the knowledge (e.g., the scientific content) represented by data. Therefore, concern is not primarily on mechanisms for transferring data from user to user (e.g., compact disk read-only memory (CD-ROM), wide-area networks, optical tape, and so forth) but on how information is encoded as data and how the information content is maintained with minimal loss or distortion during transmittal. The model assumes open systems, which means that the protocols or methods used should be fully described and the descriptions publicly available. Ideally these protocols are promoted by recognized standards organizations using processes that permit involvement by those most likely to be affected, thereby enhancing the protocol's stability and the likelihood of wide support.

The scientific jigsaw puzzle: Fitting the pieces of the low-level radiation debate

DOE Office of Scientific and Technical Information (OSTI.GOV)

Beyea, Jan

2012-05-01

Quantitative risk estimates from exposure to ionizing radiation are dominated by analysis of the one-time exposures received by the Japanese survivors at Hiroshima and Nagasaki. Three recent epidemiologic studies suggest that the risk from protracted exposure is no lower, and in fact may be higher, than from single exposures. There is near-universal acceptance that epidemiologic data demonstrates an excess risk of delayed cancer incidence above a dose of 0.1 sievert (Sv), which, for the average American, is equivalent to 40 years of unavoidable exposure from natural background radiation. Model fits, both parametric and nonparametric, to the atomic-bomb data support amore » linear no-threshold model, below 0.1 Sv. On the basis of biologic arguments, the scientific establishment in the United States and many other countries accepts this dose-model down to zero-dose, but there is spirited dissent. The dissent may be irrelevant for developed countries, given the increase in medical diagnostic radiation that has occurred in recent decades; a sizeable percentage of this population will receive cumulative doses from the medical profession in excess of 0.1 Sv, making talk of a threshold or other sublinear response below that dose moot for future releases from nuclear facilities or a dirty bomb. The risks from both medical diagnostic doses and nuclear accident doses can be computed using the linear dose-response model, with uncertainties assigned below 0.1 Sv in a way that captures alternative scientific hypotheses. Then, the important debate over low-level radiation exposures, namely planning for accident response and weighing benefits and risks of technologies, can proceed with less distraction. One of the biggest paradoxes in the low-level radiation debate is that an individual risk can be a minor concern, while the societal risk-the total delayed cancers in an exposed population-can be of major concern.« less

Model depicting aspects of audit and feedback that impact physicians' acceptance of clinical performance feedback.

PubMed

Payne, Velma L; Hysong, Sylvia J

2016-07-13

Audit and feedback (A&F) is a strategy that has been used in various disciplines for performance and quality improvement. There is limited research regarding medical professionals' acceptance of clinical-performance feedback and whether feedback impacts clinical practice. The objectives of our research were to (1) investigate aspects of A&F that impact physicians' acceptance of performance feedback; (2) determine actions physicians take when receiving feedback; and (3) determine if feedback impacts physicians' patient-management behavior. In this qualitative study, we employed grounded theory methods to perform a secondary analysis of semi-structured interviews with 12 VA primary care physicians. We analyzed a subset of interview questions from the primary study, which aimed to determine how providers of high, low and moderately performing VA medical centers use performance feedback to maintain and improve quality of care, and determine perceived utility of performance feedback. Based on the themes emergent from our analysis and their observed relationships, we developed a model depicting aspects of the A&F process that impact feedback acceptance and physicians' patient-management behavior. The model is comprised of three core components - Reaction, Action and Impact - and depicts elements associated with feedback recipients' reaction to feedback, action taken when feedback is received, and physicians modifying their patient-management behavior. Feedback characteristics, the environment, external locus-of-control components, core values, emotion and the assessment process induce or deter reaction, action and impact. Feedback characteristics (content and timeliness), and the procedural justice of the assessment process (unjust penalties) impact feedback acceptance. External locus-of-control elements (financial incentives, competition), the environment (patient volume, time constraints) and emotion impact patient-management behavior. Receiving feedback generated

A Teaching Model for Scaffolding 4th Grade Students' Scientific Explanation Writing

ERIC Educational Resources Information Center

Yang, Hsiu-Ting; Wang, Kuo-Hua

2014-01-01

Improving students scientific explanations is one major goal of science education. Both writing activities and concept mapping are reported as effective strategies for enhancing student learning of science. The purpose of this study was to examine the effect of a teaching model, named the DCI model, which integrates a Descriptive explanation…

Scientific and technical complex for modeling, researching and testing of rocket-space vehicles’ electric power installations

NASA Astrophysics Data System (ADS)

Bezruchko, Konstantin; Davidov, Albert

2009-01-01

In the given article scientific and technical complex for modeling, researching and testing of rocket-space vehicles' power installations which was created in Power Source Laboratory of National Aerospace University "KhAI" is described. This scientific and technical complex gives the opportunity to replace the full-sized tests on model tests and to reduce financial and temporary inputs at modeling, researching and testing of rocket-space vehicles' power installations. Using the given complex it is possible to solve the problems of designing and researching of rocket-space vehicles' power installations efficiently, and also to provide experimental researches of physical processes and tests of solar and chemical batteries of rocket-space complexes and space vehicles. Scientific and technical complex also allows providing accelerated tests, diagnostics, life-time control and restoring of chemical accumulators for rocket-space vehicles' power supply systems.

Mass Media and Global Warming: A Public Arenas Model of the Greenhouse Effect's Scientific Roots.

ERIC Educational Resources Information Center

Neuzil, Mark

1995-01-01

Uses the Public Arenas model to examine the historical roots of the greenhouse effect issue as communicated in scientific literature from the early 1800s to modern times. Utilizes a constructivist approach to discuss several possible explanations for the rise and fall of global warming as a social problem in the scientific arena. (PA)

The challenges of modelling phosphorus in a headwater catchment: Applying a 'limits of acceptability' uncertainty framework to a water quality model

NASA Astrophysics Data System (ADS)

Hollaway, M. J.; Beven, K. J.; Benskin, C. McW. H.; Collins, A. L.; Evans, R.; Falloon, P. D.; Forber, K. J.; Hiscock, K. M.; Kahana, R.; Macleod, C. J. A.; Ockenden, M. C.; Villamizar, M. L.; Wearing, C.; Withers, P. J. A.; Zhou, J. G.; Barber, N. J.; Haygarth, P. M.

2018-03-01

There is a need to model and predict the transfer of phosphorus (P) from land to water, but this is challenging because of the large number of complex physical and biogeochemical processes involved. This study presents, for the first time, a 'limits of acceptability' approach of the Generalized Likelihood Uncertainty Estimation (GLUE) framework to the Soil and Water Assessment Tool (SWAT), in an application to a water quality problem in the Newby Beck catchment (12.5 km2), Cumbria, United Kingdom (UK). Using high frequency outlet data (discharge and P), individual evaluation criteria (limits of acceptability) were assigned to observed discharge and P loads for all evaluation time steps, identifying where the model was performing well/poorly and to infer which processes required improvement in the model structure. Initial limits of acceptability were required to be relaxed by a substantial amount (by factors of between 5.3 and 6.7 on a normalized scale depending on the evaluation criteria used) in order to gain a set of behavioral simulations (1001 and 1016, respectively out of 5,000,000). Of the 39 model parameters tested, the representation of subsurface processes and associated parameters, were consistently shown as critical to the model not meeting the evaluation criteria, irrespective of the chosen evaluation metric. It is therefore concluded that SWAT is not an appropriate model to guide P management in this catchment. This approach highlights the importance of high frequency monitoring data for setting robust model evaluation criteria. It also raises the question as to whether it is possible to have sufficient input data available to drive such models so that we can have confidence in their predictions and their ability to inform catchment management strategies to tackle the problem of diffuse pollution from agriculture.

Development of model for assessing the acceptance level of users in rural healthcare system of Tamilnadu, India.

PubMed

Manimaran, S; Lakshmi, K Bhagya

2013-01-01

HMIS will incorporate a paradigm shift in health such as removing manual records and transformation of data through the complex structure of health departments in Tamilnadu. Thus developing a model of technology acceptance in HMIS contest is important and necessary in order to promote usage of the HMIS in rural health care system. The papers purpose is to formulate a model of technology acceptance of Health Management Information System (HMIS) by generating and validating a research model that best describes rural health care workers usage behavior and behavior intention. This research proposes a theoretical framework which is comprised of key determinants that influence usage behavior of HMIS together with moderator. It has been tested through different parametric test and confirmatory factor analysis. Data analysis shows that health workers innovativeness and voluntariness have a direct and positive influence on Technology Acceptance level and that the basic TAM hypotheses are fulfilled. HMIS usage behavior and behavior intention can be increased with factors that are effecting the successful implementation of HMIS when it remains high. This research enables health departments to know which aspects of their HMIS components and variables to improve. This shows that HMIS usage and health workers/staffs acceptance level are key tools in the success of HMIS. This research has seemed to be done at the right time and in the right place to the best of its kind.

Modeling and Simulation in Healthcare Future Directions

DTIC Science & Technology

2010-07-13

Collaborate Evidence Based Medicine is . . . The Scientific Method as Applied to Medicine The Evidence IS the Science In order to accept evidence ... based medicine . . . we must accept the current method in Science The Scientific Method is Dead Scientific Method . . . . . . is DEAD? Not necessarily

Regulatory acceptance and use of 3R models for pharmaceuticals and chemicals: expert opinions on the state of affairs and the way forward.

PubMed

Schiffelers, Marie-Jeanne W A; Blaauboer, Bas J; Bakker, Wieger E; Beken, Sonja; Hendriksen, Coenraad F M; Koëter, Herman B W M; Krul, Cyrille

2014-06-01

Pharmaceuticals and chemicals are subjected to regulatory safety testing accounting for approximately 25% of laboratory animal use in Europe. This testing meets various objections and has led to the development of a range of 3R models to Replace, Reduce or Refine the animal models. However, these models must overcome many barriers before being accepted for regulatory risk management purposes. This paper describes the barriers and drivers and options to optimize this acceptance process as identified by two expert panels, one on pharmaceuticals and one on chemicals. To untangle the complex acceptance process, the multilevel perspective on technology transitions is applied. This perspective defines influences at the micro-, meso- and macro level which need alignment to induce regulatory acceptance of a 3R model. This paper displays that there are many similar mechanisms within both sectors that prevent 3R models from becoming accepted for regulatory risk assessment and management. Shared barriers include the uncertainty about the value of the new 3R models (micro level), the lack of harmonization of regulatory requirements and acceptance criteria (meso level) and the high levels of risk aversion (macro level). In optimizing the process commitment, communication, cooperation and coordination are identified as critical drivers. Copyright © 2014 Elsevier Inc. All rights reserved.

Influence of scientific-technical literacy on consumers' behavioural intentions regarding new food.

PubMed

Rodríguez-Entrena, Macario; Salazar-Ordóñez, Melania

2013-01-01

The application of genetic engineering to agriculture has led to an important and controversial innovation in the food sector, so-called Genetically Modified (GM) food. A great deal of literature has studied cognitive and attitudinal factors conditioning consumers' acceptance of GM food, knowledge being one of the most inconsistent variables. Notwithstanding, some authors suggest closer attention should be paid to "science literacy", even more so than knowledge. This paper studies the potential role of consumer literacy fields - i.e. consumer scientific-technical or social-humanistic literacy - in determining consumer choice behaviour towards GM foods. We analyse the strength of the moderating effects produced by consumer university training in some of the most important factors which influence consumers' innovative product acceptance, such as perceived benefits and risks, attitudes to GM technology, trust in institutions or knowledge. The research is performed in southern Spain, using a variance-based technique called Structural Equation Modelling by Partial Least Squares (PLSs). The results show that perceived benefits and risks play a significant role in shaping behavioural intentions towards GM food, the attitude to GM technology being the main driver of consumers' beliefs about risks and benefits. Additionally, behavioural intentions display some differences between the scientific-technical and social-humanistic literacy fields, the variables of trust in institutions and knowledge registering the most striking differences. Copyright © 2012 Elsevier Ltd. All rights reserved.

An Exploration of Student Internet Use in India: The Technology Acceptance Model and the Theory of Planned Behaviour

ERIC Educational Resources Information Center

Fusilier, Marcelline; Durlabhji, Subhash

2005-01-01

Purpose: The purpose of this paper is to explore behavioral processes involved in internet technology acceptance and use with a sample in India, a developing country that can potentially benefit from greater participation in the web economy. Design/methodology/approach - User experience was incorporated into the technology acceptance model (TAM)…

Tacit Beginnings Towards a Model of Scientific Thinking

NASA Astrophysics Data System (ADS)

Glass, Rory J.

2013-10-01

The purpose of this paper is to provide an examination of the role tacit knowledge plays in understanding, and to provide a model to make such knowledge identifiable. To do this I first consider the needs of society, the ubiquity of information in our world and the future demands of the science classroom. I propose the use of more implicit or tacit understandings as foundational elements for the development of student knowledge. To justify this proposition I consider a wide range of philosophical and psychological perspectives on knowledge. Then develop a Model of Scientific Knowledge, based in large part on a similar model created by Paul Ernest (Social constructivism as a philosophy of mathematics, SUNY Press, Albany, NY, 1998a; Situated cognition and the learning of mathematics, University of Oxford Department of Educational Studies, Oxford, 1998b). Finally, I consider the work that has been done by those in fields beyond education and the ways in which tacit knowledge can be used as a starting point for knowledge building.

Seasonal Influenza Vaccine Acceptance among Pregnant Women in Zhejiang Province, China: Evidence Based on Health Belief Model.

PubMed

Hu, Yu; Wang, Ying; Liang, Hui; Chen, Yaping

2017-12-11

Background: Reasons for acceptance of seasonal influenza vaccine (SIV) vaccination among pregnant women in China are poorly understood. We assessed the intention to accept SIV among pregnant women in Zhejiang province, by using a self-administrated structured questionnaire developed on the basis of health belief model (HBM). Methods: From 1 January to 31 March 2014, pregnant women with ≥12 gestational weeks who attended antenatal clinics (ANCs) at public hospitals in 6 out of 90 districts were surveyed using a self-administered questionnaire that covered knowledge, attitudes, and beliefs related to SIV vaccination and influenza infection. We examined the associations between the acceptance of SIV vaccination and the demographic factors and HBM constructs using the logistic regression model, calculating the adjusted odds ratio (AOR). Results: Of the 1252 participants, 76.28% were willing to receive the SIV vaccination during their current pregnancy. High levels of perceived susceptibility of influenza (AOR = 1.75 (95%CI: 1.36-2.08)), high levels of perceived severity of influenza (AOR = 1.62 (95%CI: 1.25-1.95)), high level of perceived benefits of vaccination (AOR = 1.97 (95%CI: 1.76-2.21)), and high levels of cues to action were positively associated with the acceptance of SIV vaccination among pregnant women (AOR = 2.03 (95%CI: 1.70-2.69)), while high level of perceived barriers of vaccination was a negative determinant (AOR = 0.76 (95%CI: 0.62-0.94)). Conclusions: Poor knowledge and negative attitude towards SIV were associated with the poor acceptance of SIV. Health providers' recommendations were important to pregnant women's acceptance of SIV. Health education and direct communication strategies on SIV vaccination and influenza infection are necessary to improve the acceptance of SIV vaccination among pregnant women.

Acceptance Probability (P a) Analysis for Process Validation Lifecycle Stages.

PubMed

Alsmeyer, Daniel; Pazhayattil, Ajay; Chen, Shu; Munaretto, Francesco; Hye, Maksuda; Sanghvi, Pradeep

2016-04-01

This paper introduces an innovative statistical approach towards understanding how variation impacts the acceptance criteria of quality attributes. Because of more complex stage-wise acceptance criteria, traditional process capability measures are inadequate for general application in the pharmaceutical industry. The probability of acceptance concept provides a clear measure, derived from specific acceptance criteria for each quality attribute. In line with the 2011 FDA Guidance, this approach systematically evaluates data and scientifically establishes evidence that a process is capable of consistently delivering quality product. The probability of acceptance provides a direct and readily understandable indication of product risk. As with traditional capability indices, the acceptance probability approach assumes that underlying data distributions are normal. The computational solutions for dosage uniformity and dissolution acceptance criteria are readily applicable. For dosage uniformity, the expected AV range may be determined using the s lo and s hi values along with the worst case estimates of the mean. This approach permits a risk-based assessment of future batch performance of the critical quality attributes. The concept is also readily applicable to sterile/non sterile liquid dose products. Quality attributes such as deliverable volume and assay per spray have stage-wise acceptance that can be converted into an acceptance probability. Accepted statistical guidelines indicate processes with C pk > 1.33 as performing well within statistical control and those with C pk < 1.0 as "incapable" (1). A C pk > 1.33 is associated with a centered process that will statistically produce less than 63 defective units per million. This is equivalent to an acceptance probability of >99.99%.

Understanding Intention to Use Electronic Information Resources: A Theoretical Extension of the Technology Acceptance Model (TAM)

PubMed Central

Tao, Donghua

2008-01-01

This study extended the Technology Acceptance Model (TAM) by examining the roles of two aspects of e-resource characteristics, namely, information quality and system quality, in predicting public health students’ intention to use e-resources for completing research paper assignments. Both focus groups and a questionnaire were used to collect data. Descriptive analysis, data screening, and Structural Equation Modeling (SEM) techniques were used for data analysis. The study found that perceived usefulness played a major role in determining students’ intention to use e-resources. Perceived usefulness and perceived ease of use fully mediated the impact that information quality and system quality had on behavior intention. The research model enriches the existing technology acceptance literature by extending TAM. Representing two aspects of e-resource characteristics provides greater explanatory information for diagnosing problems of system design, development, and implementation. PMID:18999300

Understanding intention to use electronic information resources: A theoretical extension of the technology acceptance model (TAM).

PubMed

Tao, Donghua

2008-11-06

This study extended the Technology Acceptance Model (TAM) by examining the roles of two aspects of e-resource characteristics, namely, information quality and system quality, in predicting public health students' intention to use e-resources for completing research paper assignments. Both focus groups and a questionnaire were used to collect data. Descriptive analysis, data screening, and Structural Equation Modeling (SEM) techniques were used for data analysis. The study found that perceived usefulness played a major role in determining students' intention to use e-resources. Perceived usefulness and perceived ease of use fully mediated the impact that information quality and system quality had on behavior intention. The research model enriches the existing technology acceptance literature by extending TAM. Representing two aspects of e-resource characteristics provides greater explanatory information for diagnosing problems of system design, development, and implementation.

SCCR Digital Learning System for Scientific Conceptual Change and Scientific Reasoning

ERIC Educational Resources Information Center

She, H. C.; Lee, C. Q.

2008-01-01

This study reports an adaptive digital learning project, scientific concept construction and reconstruction (SCCR), that was developed based on the theories of Dual Situated Learning Model (DSLM) and scientific reasoning. In addition, the authors investigated the effects of an SCCR related to a "combustion" topic for sixth grade students…

Evaluation of Student Models on Current Socio-Scientific Topics Based on System Dynamics

ERIC Educational Resources Information Center

Nuhoglu, Hasret

2014-01-01

This study aims to 1) enable primary school students to develop models that will help them understand and analyze a system, through a learning process based on system dynamics approach, 2) examine and evaluate students' models related to socio-scientific issues using certain criteria. The research method used is a case study. The study sample…

Anatomical models and wax Venuses: art masterpieces or scientific craft works?

PubMed Central

Ballestriero, R

2010-01-01

The art of wax modelling has an ancient origin but rose to prominence in 14th century Italy with the cult of votive artefacts. With the advent of Neoclassicism this art, now deemed repulsive, continued to survive in a scientific environment, where it flourished in the study of normal and pathological anatomy, obstetrics, zoology and botany. The achievement of having originated the creation of anatomical models in coloured wax must be ascribed to a joint effort undertaken by the Sicilian wax modeller Gaetano Giulio Zumbo and the French surgeon Guillaume Desnoues in the late 17th century. Interest in anatomical wax models spread throughout Europe during the 18th century, first in Bologna with Ercole Lelli, Giovanni Manzolini and Anna Morandi, and then in Florence with Felice Fontana and Clemente Susini. In England, the art of anatomical ceroplastics was brought to London from Florence by the sculptor Joseph Towne. Throughout the centuries many anatomical artists preferred this material due to the remarkable mimetic likeness obtained, far surpassing any other material. Independent of the material used, whether wood, wax or clay, anatomical models were always considered merely craft works confined to hospitals or faculties of medicine and have survived to this day only because of their scientific interest. Italian and English waxes are stylistically different but the remarkable results obtained by Susini and Towne, and the fact that some contemporary artists are again representing anatomical wax bodies in their works, makes the border that formerly separated art and craft indistinguishable. PMID:20002228

Anatomical models and wax Venuses: art masterpieces or scientific craft works?

PubMed

Ballestriero, R

2010-02-01

The art of wax modelling has an ancient origin but rose to prominence in 14th century Italy with the cult of votive artefacts. With the advent of Neoclassicism this art, now deemed repulsive, continued to survive in a scientific environment, where it flourished in the study of normal and pathological anatomy, obstetrics, zoology and botany. The achievement of having originated the creation of anatomical models in coloured wax must be ascribed to a joint effort undertaken by the Sicilian wax modeller Gaetano Giulio Zumbo and the French surgeon Guillaume Desnoues in the late 17th century. Interest in anatomical wax models spread throughout Europe during the 18th century, first in Bologna with Ercole Lelli, Giovanni Manzolini and Anna Morandi, and then in Florence with Felice Fontana and Clemente Susini. In England, the art of anatomical ceroplastics was brought to London from Florence by the sculptor Joseph Towne. Throughout the centuries many anatomical artists preferred this material due to the remarkable mimetic likeness obtained, far surpassing any other material. Independent of the material used, whether wood, wax or clay, anatomical models were always considered merely craft works confined to hospitals or faculties of medicine and have survived to this day only because of their scientific interest. Italian and English waxes are stylistically different but the remarkable results obtained by Susini and Towne, and the fact that some contemporary artists are again representing anatomical wax bodies in their works, makes the border that formerly separated art and craft indistinguishable.

Consumer acceptance and stability of spray dried betanin in model juices.

PubMed

Kaimainen, Mika; Laaksonen, Oskar; Järvenpää, Eila; Sandell, Mari; Huopalahti, Rainer

2015-11-15

Spray dried beetroot powder was used to colour model juices, and the consumer acceptance of the juices and stability of the colour during storage at 60 °C, 20 °C, 4 °C, and -20 °C were studied. The majority of the consumers preferred the model juices coloured with anthocyanins or beetroot extract over model juices coloured with spray dried beetroot powder. The consumers preferred more intensely coloured samples over lighter samples. Spray dried betanin samples were described as 'unnatural' and 'artificial' whereas the colour of beetroot extract was described more 'natural' and 'real juice'. No beetroot-derived off-odours or off-flavours were perceived in the model juices coloured with beetroot powder. Colour stability in model juices was greatly dependent on storage temperature with better stability at lower temperatures. Colour stability in the spray dried powder was very good at 20 °C. Betacyanins from beetroot could be a potential colourant for food products that are stored cold. Copyright © 2015 Elsevier Ltd. All rights reserved.

Good modeling practice guidelines for applying multimedia models in chemical assessments.

PubMed

Buser, Andreas M; MacLeod, Matthew; Scheringer, Martin; Mackay, Don; Bonnell, Mark; Russell, Mark H; DePinto, Joseph V; Hungerbühler, Konrad

2012-10-01

Multimedia mass balance models of chemical fate in the environment have been used for over 3 decades in a regulatory context to assist decision making. As these models become more comprehensive, reliable, and accepted, there is a need to recognize and adopt principles of Good Modeling Practice (GMP) to ensure that multimedia models are applied with transparency and adherence to accepted scientific principles. We propose and discuss 6 principles of GMP for applying existing multimedia models in a decision-making context, namely 1) specification of the goals of the model assessment, 2) specification of the model used, 3) specification of the input data, 4) specification of the output data, 5) conduct of a sensitivity and possibly also uncertainty analysis, and finally 6) specification of the limitations and limits of applicability of the analysis. These principles are justified and discussed with a view to enhancing the transparency and quality of model-based assessments. Copyright © 2012 SETAC.

Scientific consensus, the law, and same sex parenting outcomes.

PubMed

adams, Jimi; Light, Ryan

2015-09-01

While the US Supreme Court was considering two related cases involving the constitutionality of same-sex marriage, one major question informing that decision was whether scientific research had achieved consensus regarding how children of same-sex couples fare. Determining the extent of consensus has become a key aspect of how social science evidence and testimony is accepted by the courts. Here, we show how a method of analyzing temporal patterns in citation networks can be used to assess the state of social scientific literature as a means to inform just such a question. Patterns of clustering within these citation networks reveal whether and when consensus arises within a scientific field. We find that the literature on outcomes for children of same-sex parents is marked by scientific consensus that they experience "no differences" compared to children from other parental configurations. Copyright © 2015 Elsevier Inc. All rights reserved.

New AGU scientific integrity and professional ethics policy available for review

USGS Publications Warehouse

Gundersen, Linda C.

2012-01-01

The AGU Task Force on Scientific Ethics welcomes your review and comments on AGU's new Scientific Integrity and Professional Ethics Policy. The policy has at its heart a code of conduct adopted from the internationally accepted "Singapore Statement," originally created by the Second World Conference on Research Integrity (http://www.singaporestatement.org/), held in 2010. The new policy also encompasses professional and publishing ethics, providing a single source of guidance to AGU members, officers, authors, and editors

Testing the Electronic Personal Health Record Acceptance Model by Nurses for Managing Their Own Health

PubMed Central

Trinkoff, A.M.; Storr, C.L.; Wilson, M.L.; Gurses, A.P.

2015-01-01

Summary Background To our knowledge, no evidence is available on health care professionals’ use of electronic personal health records (ePHRs) for their health management. We therefore focused on nurses’ personal use of ePHRs using a modified technology acceptance model. Objectives To examine (1) the psychometric properties of the ePHR acceptance model, (2) the associations of perceived usefulness, ease of use, data privacy and security protection, and perception of self as health-promoting role models to nurses’ own ePHR use, and (3) the moderating influences of age, chronic illness and medication use, and providers’ use of electronic health record (EHRs) on the associations between the ePHR acceptance constructs and ePHR use. Methods A convenience sample of registered nurses, those working in one of 12 hospitals in the Maryland and Washington, DC areas and members of the nursing informatics community (AMIA and HIMSS), were invited to respond to an anonymous online survey; 847 responded. Multiple logistic regression identified associations between the model constructs and ePHR use, and the moderating effect. Results Overall, ePHRs were used by 47%. Sufficient reliability for all scales was found. Three constructs were significantly related to nurses’ own ePHR use after adjusting for covariates: usefulness, data privacy and security protection, and health-promoting role model. Nurses with providers that used EHRs who perceived a higher level of data privacy and security protection had greater odds of ePHR use than those whose providers did not use EHRs. Older nurses with a higher self-perception as health-promoting role models had greater odds of ePHR use than younger nurses. Conclusions Nurses who use ePHRs for their personal health might promote adoption by the general public by serving as health-promoting role models. They can contribute to improvements in patient education and ePHR design, and serve as crucial resources when working with their

Values, standpoints, and scientific/intellectual movements.

PubMed

Rolin, Kristina

2016-04-01

Feminist standpoint empiricism contributes to the criticism of the value-free ideal by offering a unique analysis of how non-epistemic values can play not only a legitimate but also an epistemically productive role in science. While the inductive risk argument focuses on the role of non-epistemic values in the acceptance of hypotheses, standpoint empiricism focuses on the role of non-epistemic values in the production of evidence. And while many other analyses of values in science focus on the role of non-epistemic values either in an individual scientist's decision making or in the distribution of research efforts in scientific communities, standpoint empiricism focuses on the role of non-epistemic values in the building of scientific/intellectual movements. Copyright © 2015 Elsevier Ltd. All rights reserved.

Modeling eBook acceptance: A study on mathematics teachers

NASA Astrophysics Data System (ADS)

Jalal, Azlin Abd; Ayub, Ahmad Fauzi Mohd; Tarmizi, Rohani Ahmad

2014-12-01

The integration and effectiveness of eBook utilization in Mathematics teaching and learning greatly relied upon the teachers, hence the need to understand their perceptions and beliefs. The eBook, an individual laptop completed with digitized textbook sofwares, were provided for each students in line with the concept of 1 student:1 laptop. This study focuses on predicting a model on the acceptance of the eBook among Mathematics teachers. Data was collected from 304 mathematics teachers in selected schools using a survey questionnaire. The selection were based on the proportionate stratified sampling. Structural Equation Modeling (SEM) were employed where the model was tested and evaluated and was found to have a good fit. The variance explained for the teachers' attitude towards eBook is approximately 69.1% where perceived usefulness appeared to be a stronger determinant compared to perceived ease of use. This study concluded that the attitude of mathematics teachers towards eBook depends largely on the perception of how useful the eBook is on improving their teaching performance, implying that teachers should be kept updated with the latest mathematical application and sofwares to use with the eBook to ensure positive attitude towards using it in class.

Integrating a geographic information system, a scientific visualization system and an orographic precipitation model

USGS Publications Warehouse

Hay, L.; Knapp, L.

1996-01-01

Investigating natural, potential, and man-induced impacts on hydrological systems commonly requires complex modelling with overlapping data requirements, and massive amounts of one- to four-dimensional data at multiple scales and formats. Given the complexity of most hydrological studies, the requisite software infrastructure must incorporate many components including simulation modelling, spatial analysis and flexible, intuitive displays. There is a general requirement for a set of capabilities to support scientific analysis which, at this time, can only come from an integration of several software components. Integration of geographic information systems (GISs) and scientific visualization systems (SVSs) is a powerful technique for developing and analysing complex models. This paper describes the integration of an orographic precipitation model, a GIS and a SVS. The combination of these individual components provides a robust infrastructure which allows the scientist to work with the full dimensionality of the data and to examine the data in a more intuitive manner.

Inventing Wastewater: The Social and Scientific Construction of Effluent in the Northeastern United States

NASA Astrophysics Data System (ADS)

Brideau, J. M.; Ng, M.; Hoover, J. H.; Hale, R. L.; Thomas, B.; Vogel, R. M.; Northeast ConsortiumHydrologic Synthesis Summer Institute, 2010--Biogeochemistry

2010-12-01

Title: Inventing Wastewater: The Social and Scientific Construction of Effluent in the Northeastern United States Authors: Jeffrey Brideau, Melissa Ng, Joseph Hoover, Rebecca Hale, Brian Thomas, and Richard Vogel Presented by: Jeffrey Brideau B.A., M.A., PhD Candidate, Department of History, University of Maryland Regulation of pollution is a prevalent part of contemporary American society. Scientists and policy makers have established acceptable effluent thresholds, with the ostensible goal of protecting human and stream health. However, this ubiquity of regulation is a recent phenomenon, and institutional mechanisms for effluent control were virtually non-existent in the early 20th century. Nonetheless, these same decades witnessed the emergence of nascent efforts at water pollution abatement. This project aims to explore social and scientific perceptions of wastewater, and begins with the simple premise that socio-cultural values underlay human decision-making in water management, and that wastewater is imbued with a matrix of human values that are continuously renegotiated. So what were the primary motivations for abatement efforts? Were they aesthetic and olfactory, or scientific concern for public and stream health? This paper proposes that there are social as well as scientific thresholds for pollutant loads. Collaborating with a team of interdisciplinary researchers we have created and aggregated discrete data sets to model, using export coefficient and linear regression modeling techniques, historic pollutant loading in the Northeastern United States. Concurrently, we have drawn on historical narratives of agitation by abatement advocates, nuisance laws, regulatory regimes, and changing scientific understanding; and contrasting the modeling results with these narratives allows this project to quantitatively determine where social thresholds lay in relation to their scientific counterparts. This project’s novelty lies in its use of existing narratives of

Major psychological factors affecting acceptance of gene-recombination technology.

PubMed

Tanaka, Yutaka

2004-12-01

The purpose of this study was to verify the validity of a causal model that was made to predict the acceptance of gene-recombination technology. A structural equation model was used as a causal model. First of all, based on preceding studies, the factors of perceived risk, perceived benefit, and trust were set up as important psychological factors determining acceptance of gene-recombination technology in the structural equation model. An additional factor, "sense of bioethics," which I consider to be important for acceptance of biotechnology, was added to the model. Based on previous studies, trust was set up to have an indirect influence on the acceptance of gene-recombination technology through perceived risk and perceived benefit in the model. Participants were 231 undergraduate students in Japan who answered a questionnaire with a 5-point bipolar scale. The results indicated that the proposed model fits the data well, and showed that acceptance of gene-recombination technology is explained largely by four factors, that is, perceived risk, perceived benefit, trust, and sense of bioethics, whether the technology is applied to plants, animals, or human beings. However, the relative importance of the four factors was found to vary depending on whether the gene-recombination technology was applied to plants, animals, or human beings. Specifically, the factor of sense of bioethics is the most important factor in acceptance of plant gene-recombination technology and animal gene-recombination technology, and the factors of trust and perceived risk are the most important factors in acceptance of human being gene-recombination technology.

"Like Holding an Umbrella Before It Rains": Acceptability of Future Rectal Microbicides Among Men Who Have Sex With Men in India-A Modified Technology Acceptance Model.

PubMed

Chakrapani, Venkatesan; Newman, Peter A; Shunmugam, Murali; Mengle, Shruta; Nelson, Ruban; Rubincam, Clara; Kumar, Pushpesh

2017-07-01

Topical rectal microbicides (RMs) are a new prevention technology in development that aims to reduce the risk of HIV acquisition from anal sex. We examined RM acceptability among men who have sex with men (MSM) in India. We conducted a qualitative exploratory study guided by a modified Technology Acceptance Model, with 10 focus groups ( n = 61) of MSM and 10 key informant interviews. Data were explored using framework analysis. RM acceptability was influenced by technological contexts: perceived usefulness of RMs, perceived ease of use of RM and applicator, and habits around condom and lubricant use; individual and interpersonal contexts: perceived relevance and preferences for product formulation and dosing frequency; and MSM community/social contexts: perceived social approval, RM-related stigma, social support. Implementation of RMs for MSM in India may be supported by multi-level interventions that engage community-based organizations in destigmatizing and distributing RMs, ideally gel-based products that enable on-demand use before sex.

Framing Negotiation: Dynamics of Epistemological and Positional Framing in Small Groups during Scientific Modeling

ERIC Educational Resources Information Center

Shim, Soo-Yean; Kim, Heui-Baik

2018-01-01

In this study, we examined students' epistemological and positional framing during small group scientific modeling to explore their context-dependent perceptions about knowledge, themselves, and others. We focused on two small groups of Korean eighth-grade students who participated in six modeling activities about excretion. The two groups were…

Acceptance of Domestic Cat Mitochondrial DNA in a Criminal Proceeding

PubMed Central

Lyons, Leslie A.; Grahn, Robert A.; Kun, Teri J.; Netzel, Linda R.; Wictum, Elizabeth E.; Halverson, Joy L.

2014-01-01

Shed hair from domestic animals readily adheres to clothing and other contact items, providing a source of transfer evidence for criminal investigations. Mitochondrial DNA is often the only option for DNA analysis of shed hair. Human mitochondrial DNA analysis has been accepted in the US court system since 1996. The murder trial of the State of Missouri versus Henry L. Polk, Jr. represents the first legal proceeding where cat mitochondrial DNA analysis was introduced into evidence. The mitochondrial DNA evidence was initially considered inadmissible due to concerns about the cat dataset and the scientific acceptance of the marker. Those concerns were subsequently addressed, and the evidence was deemed admissible. This report reviews the case in regards to the cat biological evidence and its ultimate admission as generally accepted and reliable. Expansion and saturation analysis of the cat mitochondrial DNA control region dataset supported the initial interpretation of the evidence. PMID:25086413

Non-Scientific Criteria for Belief Sustain Counter-Scientific Beliefs.

PubMed

Metz, S Emlen; Weisberg, Deena S; Weisberg, Michael

2018-02-01

Why is evolutionary theory controversial among members of the American public? We propose a novel explanation: allegiance to different criteria for belief. In one interview study, two online surveys, and one nationally representative phone poll, we found that evolutionists and creationists take different justifications for belief as legitimate. Those who accept evolution emphasize empirical evidence and scientific consensus. Creationists emphasize not only the Bible and religious authority, but also knowledge of the heart. These criteria for belief remain predictive of views about evolution even when taking into account other related factors like religion, political affiliation, and education. Each view is supported by its own internally specified criteria for what constitutes a justified belief. Changing minds may thus require changing epistemic norms. Copyright © 2018 Cognitive Science Society, Inc.

Exercise motives and positive body image in physically active college women and men: Exploring an expanded acceptance model of intuitive eating.

PubMed

Tylka, Tracy L; Homan, Kristin J

2015-09-01

The acceptance model of intuitive eating posits that body acceptance by others facilitates body appreciation and internal body orientation, which contribute to intuitive eating. Two domains of exercise motives (functional and appearance) may also be linked to these variables, and thus were integrated into the model. The model fit the data well for 406 physically active U.S. college students, although some pathways were stronger for women. Body acceptance by others directly contributed to higher functional exercise motives and indirectly contributed to lower appearance exercise motives through higher internal body orientation. Functional exercise motives positively, and appearance exercise motives inversely, contributed to body appreciation. Whereas body appreciation positively, and appearance exercise motives inversely, contributed to intuitive eating for women, only the latter association was evident for men. To benefit positive body image and intuitive eating, efforts should encourage body acceptance by others and emphasize functional and de-emphasize appearance exercise motives. Copyright © 2015 Elsevier Ltd. All rights reserved.

The effects of video compression on acceptability of images for monitoring life sciences experiments

NASA Astrophysics Data System (ADS)

Haines, Richard F.; Chuang, Sherry L.

1992-07-01

Future manned space operations for Space Station Freedom will call for a variety of carefully planned multimedia digital communications, including full-frame-rate color video, to support remote operations of scientific experiments. This paper presents the results of an investigation to determine if video compression is a viable solution to transmission bandwidth constraints. It reports on the impact of different levels of compression and associated calculational parameters on image acceptability to investigators in life-sciences research at ARC. Three nonhuman life-sciences disciplines (plant, rodent, and primate biology) were selected for this study. A total of 33 subjects viewed experimental scenes in their own scientific disciplines. Ten plant scientists viewed still images of wheat stalks at various stages of growth. Each image was compressed to four different compression levels using the Joint Photographic Expert Group (JPEG) standard algorithm, and the images were presented in random order. Twelve and eleven staffmembers viewed 30-sec videotaped segments showing small rodents and a small primate, respectively. Each segment was repeated at four different compression levels in random order using an inverse cosine transform (ICT) algorithm. Each viewer made a series of subjective image-quality ratings. There was a significant difference in image ratings according to the type of scene viewed within disciplines; thus, ratings were scene dependent. Image (still and motion) acceptability does, in fact, vary according to compression level. The JPEG still-image-compression levels, even with the large range of 5:1 to 120:1 in this study, yielded equally high levels of acceptability. In contrast, the ICT algorithm for motion compression yielded a sharp decline in acceptability below 768 kb/sec. Therefore, if video compression is to be used as a solution for overcoming transmission bandwidth constraints, the effective management of the ratio and compression parameters

The effects of video compression on acceptability of images for monitoring life sciences experiments

NASA Technical Reports Server (NTRS)

Haines, Richard F.; Chuang, Sherry L.

1992-01-01

Future manned space operations for Space Station Freedom will call for a variety of carefully planned multimedia digital communications, including full-frame-rate color video, to support remote operations of scientific experiments. This paper presents the results of an investigation to determine if video compression is a viable solution to transmission bandwidth constraints. It reports on the impact of different levels of compression and associated calculational parameters on image acceptability to investigators in life-sciences research at ARC. Three nonhuman life-sciences disciplines (plant, rodent, and primate biology) were selected for this study. A total of 33 subjects viewed experimental scenes in their own scientific disciplines. Ten plant scientists viewed still images of wheat stalks at various stages of growth. Each image was compressed to four different compression levels using the Joint Photographic Expert Group (JPEG) standard algorithm, and the images were presented in random order. Twelve and eleven staffmembers viewed 30-sec videotaped segments showing small rodents and a small primate, respectively. Each segment was repeated at four different compression levels in random order using an inverse cosine transform (ICT) algorithm. Each viewer made a series of subjective image-quality ratings. There was a significant difference in image ratings according to the type of scene viewed within disciplines; thus, ratings were scene dependent. Image (still and motion) acceptability does, in fact, vary according to compression level. The JPEG still-image-compression levels, even with the large range of 5:1 to 120:1 in this study, yielded equally high levels of acceptability. In contrast, the ICT algorithm for motion compression yielded a sharp decline in acceptability below 768 kb/sec. Therefore, if video compression is to be used as a solution for overcoming transmission bandwidth constraints, the effective management of the ratio and compression parameters

Scientific Benefits of Space Science Models Archiving at Community Coordinated Modeling Center

NASA Technical Reports Server (NTRS)

Kuznetsova, Maria M.; Berrios, David; Chulaki, Anna; Hesse, Michael; MacNeice, Peter J.; Maddox, Marlo M.; Pulkkinen, Antti; Rastaetter, Lutz; Taktakishvili, Aleksandre

2009-01-01

The Community Coordinated Modeling Center (CCMC) hosts a set of state-of-the-art space science models ranging from the solar atmosphere to the Earth's upper atmosphere. CCMC provides a web-based Run-on-Request system, by which the interested scientist can request simulations for a broad range of space science problems. To allow the models to be driven by data relevant to particular events CCMC developed a tool that automatically downloads data from data archives and transform them to required formats. CCMC also provides a tailored web-based visualization interface for the model output, as well as the capability to download the simulation output in portable format. CCMC offers a variety of visualization and output analysis tools to aid scientists in interpretation of simulation results. During eight years since the Run-on-request system became available the CCMC archived the results of almost 3000 runs that are covering significant space weather events and time intervals of interest identified by the community. The simulation results archived at CCMC also include a library of general purpose runs with modeled conditions that are used for education and research. Archiving results of simulations performed in support of several Modeling Challenges helps to evaluate the progress in space weather modeling over time. We will highlight the scientific benefits of CCMC space science model archive and discuss plans for further development of advanced methods to interact with simulation results.

Toward a scientifically rigorous basis for developing mapped ecological regions.

USGS Publications Warehouse

McMahon, G.; Wiken, E.B.; Gauthier, D.A.

2004-01-01

Despite the wide use of ecological regions in conservation and resource-management evaluations and assessments, a commonly accepted theoretical basis for ecological regionalization does not exist. This fact, along with the paucity of focus on ecological regionalization by professional associations, journals, and faculties, has inhibited the advancement of a broadly acceptable scientific basis for the development, use, and verification of ecological regions. The central contention of this article is that ecological regions should improve our understanding of geographic and ecological phenomena associated with biotic and abiotic processes occurring in individual regions and also of processes characteristic of interactions and dependencies among multiple regions. Research associated with any ecoregional framework should facilitate development of hypotheses about ecological phenomena and dominant landscape elements associated with these phenomena, how these phenomena are structured in space, and how they function in a hierarchy. Success in addressing the research recommendations outlined in this article cannot occur within an ad hoc, largely uncoordinated research environment. Successful implementation of this plan will require activities--coordination, funding, and education--that are both scientific and administrative in nature. Perhaps the most important element of an infrastructure to support the scientific work of ecoregionalization would be a national or international authority similar to the Water and Science Technology Board of the National Academy of Sciences.

Toward a Scientifically Rigorous Basis for Developing Mapped Ecological Regions

NASA Astrophysics Data System (ADS)

McMahon, Gerard; Wiken, Ed B.; Gauthier, David A.

2004-04-01

Despite the wide use of ecological regions in conservation and resource-management evaluations and assessments, a commonly accepted theoretical basis for ecological regionalization does not exist. This fact, along with the paucity of focus on ecological regionalization by professional associations, journals, and faculties, has inhibited the advancement of a broadly acceptable scientific basis for the development, use, and verification of ecological regions. The central contention of this article is that ecological regions should improve our understanding of geographic and ecological phenomena associated with biotic and abiotic processes occurring in individual regions and also of processes characteristic of interactions and dependencies among multiple regions. Research associated with any ecoregional framework should facilitate development of hypotheses about ecological phenomena and dominant landscape elements associated with these phenomena, how these phenomena are structured in space, and how they function in a hierarchy. Success in addressing the research recommendations outlined in this article cannot occur within an ad hoc, largely uncoordinated research environment. Successful implementation of this plan will require activities—coordination, funding, and education—that are both scientific and administrative in nature. Perhaps the most important element of an infrastructure to support the scientific work of ecoregionalization would be a national or international authority similar to the Water and Science Technology Board of the National Academy of Sciences.

Modelling Scientific Argumentation in the Classroom : Teachers perception and practice

NASA Astrophysics Data System (ADS)

Probosari, R. M.; Sajidan; Suranto; Prayitno, B. A.; Widyastuti, F.

2017-02-01

The purposes of this study were to investigate teacher’s perception about scientific argumentation and how they practice it in their classroom. Thirty biology teachers in high school participated in this study and illustrated their perception of scientific argumentation through a questionnaire. This survey research was developed to measure teachers’ understanding of scientific argumentation, what they know about scientific argumentation, the differentiation between argument and reasoning, how they plan teaching strategies in order to make students’ scientific argumentation better and the obstacles in teaching scientific argumentation. The result conclude that generally, teachers modified various representation to accommodate student’s active participation, but most of them assume that argument and reasoning are similar. Less motivation, tools and limited science’s knowledge were considered as obstacles in teaching argumentation. The findings can be helpful to improving students’ abilities of doing scientific argumentation as a part of inquiry.

NASA's Climate in a Box: Desktop Supercomputing for Open Scientific Model Development

NASA Astrophysics Data System (ADS)

Wojcik, G. S.; Seablom, M. S.; Lee, T. J.; McConaughy, G. R.; Syed, R.; Oloso, A.; Kemp, E. M.; Greenseid, J.; Smith, R.

2009-12-01

NASA's High Performance Computing Portfolio in cooperation with its Modeling, Analysis, and Prediction program intends to make its climate and earth science models more accessible to a larger community. A key goal of this effort is to open the model development and validation process to the scientific community at large such that a natural selection process is enabled and results in a more efficient scientific process. One obstacle to others using NASA models is the complexity of the models and the difficulty in learning how to use them. This situation applies not only to scientists who regularly use these models but also non-typical users who may want to use the models such as scientists from different domains, policy makers, and teachers. Another obstacle to the use of these models is that access to high performance computing (HPC) accounts, from which the models are implemented, can be restrictive with long wait times in job queues and delays caused by an arduous process of obtaining an account, especially for foreign nationals. This project explores the utility of using desktop supercomputers in providing a complete ready-to-use toolkit of climate research products to investigators and on demand access to an HPC system. One objective of this work is to pre-package NASA and NOAA models so that new users will not have to spend significant time porting the models. In addition, the prepackaged toolkit will include tools, such as workflow, visualization, social networking web sites, and analysis tools, to assist users in running the models and analyzing the data. The system architecture to be developed will allow for automatic code updates for each user and an effective means with which to deal with data that are generated. We plan to investigate several desktop systems, but our work to date has focused on a Cray CX1. Currently, we are investigating the potential capabilities of several non-traditional development environments. While most NASA and NOAA models are

Modeling the acceptance of clinical information systems among hospital medical staff: an extended TAM model.

PubMed

Melas, Christos D; Zampetakis, Leonidas A; Dimopoulou, Anastasia; Moustakis, Vassilis

2011-08-01

Recent empirical research has utilized the Technology Acceptance Model (TAM) to advance the understanding of doctors' and nurses' technology acceptance in the workplace. However, the majority of the reported studies are either qualitative in nature or use small convenience samples of medical staff. Additionally, in very few studies moderators are either used or assessed despite their importance in TAM based research. The present study focuses on the application of TAM in order to explain the intention to use clinical information systems, in a random sample of 604 medical staff (534 physicians) working in 14 hospitals in Greece. We introduce physicians' specialty as a moderator in TAM and test medical staff's information and communication technology (ICT) knowledge and ICT feature demands, as external variables. The results show that TAM predicts a substantial proportion of the intention to use clinical information systems. Findings make a contribution to the literature by replicating, explaining and advancing the TAM, whereas theory is benefited by the addition of external variables and medical specialty as a moderator. Recommendations for further research are discussed. Copyright © 2011 Elsevier Inc. All rights reserved.

The ranking of scientists based on scientific publications assessment.

PubMed

Zerem, Enver

2017-11-01

It is generally accepted that the scientific impact factor (Web of Science) and the total number of citations of the articles published in a journal, are the most relevant parameters of the journal's significance. However, the significance of scientists is much more complicated to establish and the value of their scientific production cannot be directly reflected by the importance of the journals in which their articles are published. Evaluating the significance of scientists' accomplishments involves more complicated metrics than just their publication records. Based on a long term of academic experience, the author proposes objective criteria to estimate the scientific merit of an individual's publication record. This metric can serve as a pragmatic tool and the nidus for discussion within the readership of this journal. Copyright © 2017 Elsevier Inc. All rights reserved.

Design and Implementation of Scientific Software Components to Enable Multiscale Modeling: The Effective Fragment Potential (QM/EFP) Method

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gaenko, Alexander; Windus, Theresa L.; Sosonkina, Masha

2012-10-19

The design and development of scientific software components to provide an interface to the effective fragment potential (EFP) methods are reported. Multiscale modeling of physical and chemical phenomena demands the merging of software packages developed by research groups in significantly different fields. Componentization offers an efficient way to realize new high performance scientific methods by combining the best models available in different software packages without a need for package readaptation after the initial componentization is complete. The EFP method is an efficient electronic structure theory based model potential that is suitable for predictive modeling of intermolecular interactions in large molecularmore » systems, such as liquids, proteins, atmospheric aerosols, and nanoparticles, with an accuracy that is comparable to that of correlated ab initio methods. The developed components make the EFP functionality accessible for any scientific component-aware software package. The performance of the component is demonstrated on a protein interaction model, and its accuracy is compared with results obtained with coupled cluster methods.« less

Development of a health information technology acceptance model using consumers' health behavior intention.

PubMed

Kim, Jeongeun; Park, Hyeoun-Ae

2012-10-01

For effective health promotion using health information technology (HIT), it is mandatory that health consumers have the behavioral intention to measure, store, and manage their own health data. Understanding health consumers' intention and behavior is needed to develop and implement effective and efficient strategies. To develop and verify the extended Technology Acceptance Model (TAM) in health care by describing health consumers' behavioral intention of using HIT. This study used a cross-sectional descriptive correlational design. We extended TAM by adding more antecedents and mediating variables to enhance the model's explanatory power and to make it more applicable to health consumers' behavioral intention. Additional antecedents and mediating variables were added to the hypothetical model, based on their theoretical relevance, from the Health Belief Model and theory of planned behavior, along with the TAM. We undertook structural equation analysis to examine the specific nature of the relationship involved in understanding consumers' use of HIT. Study participants were 728 members recruited from three Internet health portals in Korea. Data were collected by a Web-based survey using a structured self-administered questionnaire. The overall fitness indices for the model developed in this study indicated an acceptable fit of the model. All path coefficients were statistically significant. This study showed that perceived threat, perceived usefulness, and perceived ease of use significantly affected health consumers' attitude and behavioral intention. Health consumers' health status, health belief and concerns, subjective norm, HIT characteristics, and HIT self-efficacy had a strong indirect impact on attitude and behavioral intention through the mediators of perceived threat, perceived usefulness, and perceived ease of use. An extended TAM in the HIT arena was found to be valid to describe health consumers' behavioral intention. We categorized the concepts in

An Elaboration Likelihood Model Based Longitudinal Analysis of Attitude Change during the Process of IT Acceptance via Education Program

ERIC Educational Resources Information Center

Lee, Woong-Kyu

2012-01-01

The principal objective of this study was to gain insight into attitude changes occurring during IT acceptance from the perspective of elaboration likelihood model (ELM). In particular, the primary target of this study was the process of IT acceptance through an education program. Although the Internet and computers are now quite ubiquitous, and…

The last bite was deadly--about responsibility in scientific publishing.

PubMed

Pavlovic, Dragan; Usichenko, Taras I; Lehmann, Christian

2014-01-01

Some open access journals are believed to have devaluated the highly respected image of the scientific journal. This has been, it is claimed, verified. Yet the project we believe failed and we show why we think that it failed. The study itself was badly conducted and the report, which Science published, was itself a perfect example of "bad science". If the article that was published in Science were to be taken as one of the "test" articles and Science as a victim journal (a perfect control though), the study would show the opposite of what author concluded in his paper: 100% of the controls (normal non-open access journals, in the present study this was Science) accepted the "bait" paper for publication, while in the experimental group only about 60% (open access journals) accepted the bait paper for publication. The conclusion is that, with respect to non-open access and open access, the probability of accepting pseudoscience is well in favor of this being done by a non-open access journal. Since this interpretation is based on some facts that were not included in the project itself, the only warranted result of this study would be that nothing could be concluded from it. It is concluded that the method that Bohannon used was heavily flawed and in addition immoral; that the report that was published by Science was inconclusive and that the act of publishing such report cannot be morally justified either. Various methods to improve the quality of published papers exist but scientific fraud with "good intentions" as a method to promote scientific publishing should be avoided.

Return on Scientific Investment - RoSI: a PMO dynamical index proposal for scientific projects performance evaluation and management.

PubMed

Caous, Cristofer André; Machado, Birajara; Hors, Cora; Zeh, Andrea Kaufmann; Dias, Cleber Gustavo; Amaro Junior, Edson

2012-01-01

To propose a measure (index) of expected risks to evaluate and follow up the performance analysis of research projects involving financial and adequate structure parameters for its development. A ranking of acceptable results regarding research projects with complex variables was used as an index to gauge a project performance. In order to implement this method the ulcer index as the basic model to accommodate the following variables was applied: costs, high impact publication, fund raising, and patent registry. The proposed structured analysis, named here as RoSI (Return on Scientific Investment) comprises a pipeline of analysis to characterize the risk based on a modeling tool that comprises multiple variables interacting in semi-quantitatively environments. This method was tested with data from three different projects in our Institution (projects A, B and C). Different curves reflected the ulcer indexes identifying the project that may have a minor risk (project C) related to development and expected results according to initial or full investment. The results showed that this model contributes significantly to the analysis of risk and planning as well as to the definition of necessary investments that consider contingency actions with benefits to the different stakeholders: the investor or donor, the project manager and the researchers.

Hybrid E-Learning Acceptance Model: Learner Perceptions

ERIC Educational Resources Information Center

Ahmed, Hassan M. Selim

2010-01-01

E-learning tools and technologies have been used to supplement conventional courses in higher education institutions creating a "hybrid" e-learning module that aims to enhance the learning experiences of students. Few studies have addressed the acceptance of hybrid e-learning by learners and the factors affecting the learners'…

Break with tradition: donating cadavers for scientific purposes and reducing the use of sentient beings.

PubMed

Ciliberti, Rosagemma; Martini, Mariano; Bonsignore, Alessandro; Penco, Susanna

2016-01-01

In recent years, the development of research and the increased awareness of our moral duties beyond the human species have pushed the scientific community to revise widely-accepted ontological reductionist views that regard non-human animals as mere things. The new horizons offered by the development of advanced research methods therefore require an on-going commitment to new perspectives able to find the right balance between the need for scientific knowledge on one hand and the respect for animal life on the other. This is in line with increasing attention to animal welfare and expansion of the "3Rs model": replacement, reduction, refinement.With the view of promoting the adoption of alternative methods, human body donation for research can contribute not only to the acquisition of important information for human health and for doctors' training, but also can reduce significantly the number of animals sacrificed.By investigating the scientific and ethical reasons that may encourage cadaver donation, the authors aim to promote the adoption of the practice in Italy following other European experiences.

Authentic scientific data collection in support of an integrative model-based class: A framework for student engagement in the classroom

NASA Astrophysics Data System (ADS)

Sorensen, A. E.; Dauer, J. M.; Corral, L.; Fontaine, J. J.

2017-12-01

A core component of public scientific literacy, and thereby informed decision-making, is the ability of individuals to reason about complex systems. In response to students having difficulty learning about complex systems, educational research suggests that conceptual representations, or mental models, may help orient student thinking. Mental models provide a framework to support students in organizing and developing ideas. The PMC-2E model is a productive tool in teaching ideas of modeling complex systems in the classroom because the conceptual representation framework allows for self-directed learning where students can externalize systems thinking. Beyond mental models, recent work emphasizes the importance of facilitating integration of authentic science into the formal classroom. To align these ideas, a university class was developed around the theme of carnivore ecology, founded on PMC-2E framework and authentic scientific data collection. Students were asked to develop a protocol, collect, and analyze data around a scientific question in partnership with a scientist, and then use data to inform their own learning about the system through the mental model process. We identified two beneficial outcomes (1) scientific data is collected to address real scientific questions at a larger scale and (2) positive outcomes for student learning and views of science. After participating in the class, students report enjoying class structure, increased support for public understanding of science, and shifts in nature of science and interest in pursuing science metrics on post-assessments. Further work is ongoing investigating the linkages between engaging in authentic scientific practices that inform student mental models, and how it might promote students' systems-thinking skills, implications for student views of nature of science, and development of student epistemic practices.

Modelling Facebook Usage among University Students in Thailand: The Role of Emotional Attachment in an Extended Technology Acceptance Model

ERIC Educational Resources Information Center

Teo, Timothy

2016-01-01

The aim of this study is to examine the factors that influenced the use of Facebook among university students. Using an extended technology acceptance model (TAM) with emotional attachment (EA) as an external variable, a sample of 498 students from a public-funded Thailand university were surveyed on their responses to five variables hypothesized…

UGV acceptance testing

NASA Astrophysics Data System (ADS)

Kramer, Jeffrey A.; Murphy, Robin R.

2006-05-01

With over 100 models of unmanned vehicles now available for military and civilian safety, security or rescue applications, it is important to for agencies to establish acceptance testing. However, there appears to be no general guidelines for what constitutes a reasonable acceptance test. This paper describes i) a preliminary method for acceptance testing by a customer of the mechanical and electrical components of an unmanned ground vehicle system, ii) how it has been applied to a man-packable micro-robot, and iii) discusses the value of testing both to ensure that the customer has a workable system and to improve design. The test method automated the operation of the robot to repeatedly exercise all aspects and combinations of components on the robot for 6 hours. The acceptance testing process uncovered many failures consistent with those shown to occur in the field, showing that testing by the user does predict failures. The process also demonstrated that the testing by the manufacturer can provide important design data that can be used to identify, diagnose, and prevent long-term problems. Also, the structured testing environment showed that sensor systems can be used to predict errors and changes in performance, as well as uncovering unmodeled behavior in subsystems.

On the Acceptability of Funding from Fossil Energy Companies

NASA Astrophysics Data System (ADS)

Frumhoff, P. C.; Goldman, G. T.

2016-12-01

Vigorous debates within the American Geophysical Union over the acceptability of funding from ExxonMobil sit within a broader societal debate over the climate responsibilities of fossil energy companies in a carbon constrained world. This has been fueled by recent evidence that leading companies have invested heavily in efforts to sow doubt about climate science in order to avoid regulation of their products. This talk examines the nature of this evidence and the ethical stances that AGU and other scientific societies and organizations might take toward acceptability of funding from fossil energy companies in light of it. The results of a climate responsibility scorecard, assessing a sample of leading oil, gas and coal companies against specific criteria for a more responsible fossil energy company, also will be presented.

Anatomy of scientific evolution.

PubMed

Yun, Jinhyuk; Kim, Pan-Jun; Jeong, Hawoong

2015-01-01

The quest for historically impactful science and technology provides invaluable insight into the innovation dynamics of human society, yet many studies are limited to qualitative and small-scale approaches. Here, we investigate scientific evolution through systematic analysis of a massive corpus of digitized English texts between 1800 and 2008. Our analysis reveals great predictability for long-prevailing scientific concepts based on the levels of their prior usage. Interestingly, once a threshold of early adoption rates is passed even slightly, scientific concepts can exhibit sudden leaps in their eventual lifetimes. We developed a mechanistic model to account for such results, indicating that slowly-but-commonly adopted science and technology surprisingly tend to have higher innate strength than fast-and-commonly adopted ones. The model prediction for disciplines other than science was also well verified. Our approach sheds light on unbiased and quantitative analysis of scientific evolution in society, and may provide a useful basis for policy-making.

Anatomy of Scientific Evolution

PubMed Central

Yun, Jinhyuk; Kim, Pan-Jun; Jeong, Hawoong

2015-01-01

The quest for historically impactful science and technology provides invaluable insight into the innovation dynamics of human society, yet many studies are limited to qualitative and small-scale approaches. Here, we investigate scientific evolution through systematic analysis of a massive corpus of digitized English texts between 1800 and 2008. Our analysis reveals great predictability for long-prevailing scientific concepts based on the levels of their prior usage. Interestingly, once a threshold of early adoption rates is passed even slightly, scientific concepts can exhibit sudden leaps in their eventual lifetimes. We developed a mechanistic model to account for such results, indicating that slowly-but-commonly adopted science and technology surprisingly tend to have higher innate strength than fast-and-commonly adopted ones. The model prediction for disciplines other than science was also well verified. Our approach sheds light on unbiased and quantitative analysis of scientific evolution in society, and may provide a useful basis for policy-making. PMID:25671617

User acceptance of mobile health services from users' perspectives: The role of self-efficacy and response-efficacy in technology acceptance.

PubMed

Zhang, Xiaofei; Han, Xiaocui; Dang, Yuanyuan; Meng, Fanbo; Guo, Xitong; Lin, Jiayue

2017-03-01

With the swift emergence of electronic medical information, the global popularity of mobile health (mHealth) services continues to increase steadily. This study aims to investigate the efficacy factors that directly or indirectly influence individuals' acceptance of mHealth services. Based on the technology acceptance model, this research incorporates efficacy factors into the acceptance decision process. A research model was proposed involving the direct and indirect effects of self-efficacy and response-efficacy on acceptance intention, along with their moderating effects. The model and hypotheses were validated using data collected from a field survey of 650 potential service users. The results reveal that: (1) self-efficacy and response-efficacy are both positively associated with perceived ease of use; and (2) self-efficacy and response-efficacy moderate the impact of perceived usefulness toward adoption intention. Self-efficacy and response-efficacy both play an important role in individuals' acceptance of mHealth services, which not only affect their perceived ease of use of mHealth services, but also positively moderate the effects of perceived usefulness on adoption intention. Our findings serve to provide recommendations that are specifically customized for mHealth service providers and their marketers.

A tale of two slinkies: learning about scientific models in a student-driven classroom

NASA Astrophysics Data System (ADS)

Gandhi, Punit; Berggren, Calvin; Livezey, Jesse; Olf, Ryan

2014-11-01

We describe a set of conceptual activities and hands-on experiments based around understanding the dynamics of a slinky that is hung vertically and released from rest. The motion, or lack thereof, of the bottom of the slinky after the top is dropped sparks students' curiosity by challenging their expectations and provides context for learning about scientific model building. This curriculum helps students learn about the model building process by giving them an opportunity to enlist their collective intellectual and creative resources to develop and explore two different physical models of the falling slinky system. By engaging with two complementary models, students not only have the opportunity to understand an intriguing phenomenon from multiple perspectives, but also learn deeper lessons about the nature of scientific understanding, the role of physical models, and the experience of doing science. The activities we present were part of a curriculum developed for a week-long summer program for incoming freshmen as a part of the Compass Project at UC Berkeley, but could easily be implemented in a wide range of classrooms at the high school or introductory college level.

Measuring the Moderating Effect of Gender and Age on E-Learning Acceptance in England: A Structural Equation Modeling Approach for an Extended Technology Acceptance Model

ERIC Educational Resources Information Center

Tarhini, Ali; Hone, Kate; Liu, Xiaohui

2014-01-01

The success of an e-learning intervention depends to a considerable extent on student acceptance and use of the technology. Therefore, it has become imperative for practitioners and policymakers to understand the factors affecting the user acceptance of e-learning systems in order to enhance the students' learning experience. Based on an extended…

Acceptance of Swedish e-health services.

PubMed

Jung, Mary-Louise; Loria, Karla

2010-11-16

To investigate older people's acceptance of e-health services, in order to identify determinants of, and barriers to, their intention to use e-health. Based on one of the best-established models of technology acceptance, Technology Acceptance Model (TAM), in-depth exploratory interviews with twelve individuals over 45 years of age and of varying backgrounds are conducted. This investigation could find support for the importance of usefulness and perceived ease of use of the e-health service offered as the main determinants of people's intention to use the service. Additional factors critical to the acceptance of e-health are identified, such as the importance of the compatibility of the services with citizens' needs and trust in the service provider. Most interviewees expressed positive attitudes towards using e-health and find these services useful, convenient, and easy to use. E-health services are perceived as a good complement to traditional health care service delivery, even among older people. These people, however, need to become aware of the e-health alternatives that are offered to them and the benefits they provide.

Modeling the Round Earth through Diagrams

ERIC Educational Resources Information Center

Padalkar, Shamin; Ramadas, Jayashree

2008-01-01

Earlier studies have found that students, including adults, have problems understanding the scientifically accepted model of the Sun-Earth-Moon system and explaining day-to-day astronomical phenomena based on it. We have been examining such problems in the context of recent research on visual-spatial reasoning. Working with middle school students…

Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention

PubMed Central

2012-01-01

Background For effective health promotion using health information technology (HIT), it is mandatory that health consumers have the behavioral intention to measure, store, and manage their own health data. Understanding health consumers’ intention and behavior is needed to develop and implement effective and efficient strategies. Objective To develop and verify the extended Technology Acceptance Model (TAM) in health care by describing health consumers’ behavioral intention of using HIT. Methods This study used a cross-sectional descriptive correlational design. We extended TAM by adding more antecedents and mediating variables to enhance the model’s explanatory power and to make it more applicable to health consumers’ behavioral intention. Additional antecedents and mediating variables were added to the hypothetical model, based on their theoretical relevance, from the Health Belief Model and theory of planned behavior, along with the TAM. We undertook structural equation analysis to examine the specific nature of the relationship involved in understanding consumers’ use of HIT. Study participants were 728 members recruited from three Internet health portals in Korea. Data were collected by a Web-based survey using a structured self-administered questionnaire. Results The overall fitness indices for the model developed in this study indicated an acceptable fit of the model. All path coefficients were statistically significant. This study showed that perceived threat, perceived usefulness, and perceived ease of use significantly affected health consumers’ attitude and behavioral intention. Health consumers’ health status, health belief and concerns, subjective norm, HIT characteristics, and HIT self-efficacy had a strong indirect impact on attitude and behavioral intention through the mediators of perceived threat, perceived usefulness, and perceived ease of use. Conclusions An extended TAM in the HIT arena was found to be valid to describe health

[Nurses' Innovation Acceptance of Barcode Technology].

PubMed

Cheng, Hui-Ping; Lee, Ting-Ting; Liu, Chieh-Yu; Hou, I-Ching

2016-04-01

Healthcare organizations have increasingly adopted barcode technology to improve care quality and work efficiency. Barcode technology is simple to use, so it is frequently used in patient identification, medication administration, and specimen collection processes. This study used a technology acceptance model and innovation diffusion theory to explore the innovation acceptance of barcode technology by nurses. The data were collected using a structured questionnaire with open-ended questions that was based on the technology acceptance model and innovation diffusion theory. The questionnaire was distributed to and collected from 200 nurses from March to May 2014. Data on laboratory reporting times and specimen rejection rates were collected as well. Variables that were found to have a significant relationship (p<.001) with innovation acceptance included (in order of importance): perceived usefulness (r=.722), perceived ease of use (r=.720), observability (r=.579), compatibility (r=.364), and trialability (r=.344). N-level nurses demonstrated higher acceptance than their N1 and N2 level peers (F=3.95, p<.05). Further, the mean laboratory reporting time decreased 109 minutes (t=10.03, p<.05) and the mean specimen rejection rate decreased from 2.18% to 0.28%. The results revealed that barcode technology has been accepted by nurses and that this technology effectively decreases both laboratory reporting times and specimen rejection rates. However, network speed and workflow should be further improved in order to benefit clinical practice.

Ferrofluids: Modeling, numerical analysis, and scientific computation

NASA Astrophysics Data System (ADS)

Tomas, Ignacio

This dissertation presents some developments in the Numerical Analysis of Partial Differential Equations (PDEs) describing the behavior of ferrofluids. The most widely accepted PDE model for ferrofluids is the Micropolar model proposed by R.E. Rosensweig. The Micropolar Navier-Stokes Equations (MNSE) is a subsystem of PDEs within the Rosensweig model. Being a simplified version of the much bigger system of PDEs proposed by Rosensweig, the MNSE are a natural starting point of this thesis. The MNSE couple linear velocity u, angular velocity w, and pressure p. We propose and analyze a first-order semi-implicit fully-discrete scheme for the MNSE, which decouples the computation of the linear and angular velocities, is unconditionally stable and delivers optimal convergence rates under assumptions analogous to those used for the Navier-Stokes equations. Moving onto the much more complex Rosensweig's model, we provide a definition (approximation) for the effective magnetizing field h, and explain the assumptions behind this definition. Unlike previous definitions available in the literature, this new definition is able to accommodate the effect of external magnetic fields. Using this definition we setup the system of PDEs coupling linear velocity u, pressure p, angular velocity w, magnetization m, and magnetic potential ϕ We show that this system is energy-stable and devise a numerical scheme that mimics the same stability property. We prove that solutions of the numerical scheme always exist and, under certain simplifying assumptions, that the discrete solutions converge. A notable outcome of the analysis of the numerical scheme for the Rosensweig's model is the choice of finite element spaces that allow the construction of an energy-stable scheme. Finally, with the lessons learned from Rosensweig's model, we develop a diffuse-interface model describing the behavior of two-phase ferrofluid flows and present an energy-stable numerical scheme for this model. For a

Empirical Testing of a Theoretical Extension of the Technology Acceptance Model: An Exploratory Study of Educational Wikis

ERIC Educational Resources Information Center

Liu, Xun

2010-01-01

This study extended the technology acceptance model and empirically tested the new model with wikis, a new type of educational technology. Based on social cognitive theory and the theory of planned behavior, three new variables, wiki self-efficacy, online posting anxiety, and perceived behavioral control, were added to the original technology…

Learning with Interactive Whiteboards: Determining the Factors on Promoting Interactive Whiteboards to Students by Technology Acceptance Model

ERIC Educational Resources Information Center

Kilic, Eylem; Güler, Çetin; Çelik, H. Eray; Tatli, Cemal

2015-01-01

Purpose: The purpose of this study is to investigate the factors which might affect the intention to use interactive whiteboards (IWBs) by university students, using Technology Acceptance Model by the structural equation modeling approach. The following hypothesis guided the current study: H1. There is a positive relationship between IWB…

Middle-School Science Students' Scientific Modelling Performances Across Content Areas and Within a Learning Progression

NASA Astrophysics Data System (ADS)

Bamberger, Yael M.; Davis, Elizabeth A.

2013-01-01

This paper focuses on students' ability to transfer modelling performances across content areas, taking into consideration their improvement of content knowledge as a result of a model-based instruction. Sixty-five sixth grade students of one science teacher in an urban public school in the Midwestern USA engaged in scientific modelling practices that were incorporated into a curriculum focused on the nature of matter. Concept-process models were embedded in the curriculum, as well as emphasis on meta-modelling knowledge and modelling practices. Pre-post test items that required drawing scientific models of smell, evaporation, and friction were analysed. The level of content understanding was coded and scored, as were the following elements of modelling performance: explanation, comparativeness, abstraction, and labelling. Paired t-tests were conducted to analyse differences in students' pre-post tests scores on content knowledge and on each element of the modelling performances. These are described in terms of the amount of transfer. Students significantly improved in their content knowledge for the smell and the evaporation models, but not for the friction model, which was expected as that topic was not taught during the instruction. However, students significantly improved in some of their modelling performances for all the three models. This improvement serves as evidence that the model-based instruction can help students acquire modelling practices that they can apply in a new content area.

Key acceptability attributes of orodispersible films.

PubMed

Scarpa, Mariagiovanna; Paudel, Amrit; Kloprogge, Frank; Hsiao, Wen Kai; Bresciani, Massimo; Gaisford, Simon; Orlu, Mine

2018-04-01

The features rendering orodispersible films (ODFs) patient-centric formulations are widely discussed in the scientific literature. However there is a lack of research studies exploring ODF characteristics with a potential impact on end-user acceptability. The aim of this study was to identify the key ODF characteristics affecting end-user acceptability by developing in vitro test methods for the prediction of ODFs acceptability and correlate these formulation characteristics with the data obtained from a human panel study. Four drug-free single-polymer films were prepared by solvent casting. Solutions of poly(vinyl) alcohol (PVOH) 39 KDa (P1), PVOH 197 KDa (P2), carboxymethylcellulose (CMC) 395 KDa (C1), and CMC 725 KDa (C2) were prepared. Texture analysis and Dynamic Mechanical Analysis (DMA) were used to assess film tack. Petri dish and drop methods were used to assess disintegration time. A human panel of 24 healthy young adults was employed to identify end-user acceptability criteria of the four study film samples. Texture analysis data of ODF tack were not found to be in agreement with the in vivo perceived stickiness in the mouth. However, measurement of the area under the adhesive force curve obtained by DMA correlated with in vivo perceived stickiness data for all samples. The disintegration times obtained by drop method were more comparable to human panel data than the petri dish method. Hence DMA and drop methods proved to be promising methodologies for the prediction of the end-user acceptability. The type and molecular weight of the film-forming polymer had a strong influence on stickiness perception, whereas only polymeric molecular weight influenced perceived disintegration time. The human panel study showed that Participant Reported Outcomes (PROs) for the perceived stickiness in the mouth and disintegration time of test films received significantly different scores between samples, and thus were identified as the key attributes with the

Presenting Global Warming and Evolution as Public Health Issues to Encourage Acceptance of Scientific Evidence

ERIC Educational Resources Information Center

Stover, Shawn K.; McArthur, Laurence B.; Mabry, Michelle L.

2013-01-01

Although evidence supporting anthropogenic global warming and evolution by natural selection is considerable, the public does not embrace these concepts. The current study explores the hypothesis that individuals will become more receptive to scientific viewpoints if evidence for evolution and implications of global warming are presented as issues…

The Swedish Research Council's definition of 'scientific misconduct': a critique.

PubMed

Salwén, Håkan

2015-02-01

There is no consensus over the proper definition of 'scientific misconduct.' There are differences in opinion not only between countries but also between research institutions in the same country. This is unfortunate. Without a widely accepted definition it is difficult for scientists to adjust to new research milieux. This might hamper scientific innovation and make cooperation difficult. Furthermore, due to the potentially damaging consequences it is important to combat misconduct. But how frequent is it and what measures are efficient? Without an appropriate definition there are no interesting answers to these questions. In order to achieve a high degree of consensus and to foster research integrity, the international dialogue over the proper definition of 'scientific misconduct' must be on going. Yet, the scientific community should not end up with the definition suggested by the Swedish Research Council. The definition the council advocates does not satisfy the ordinary language condition. That is, the definition is not consistent with how 'scientific misconduct' is used by scientists. I will show that this is due to the fact that it refers to false results. I generalise this and argue that no adequate definition of 'scientific misconduct' makes such a reference.

Understanding Student Teachers' Behavioural Intention to Use Technology: Technology Acceptance Model (TAM) Validation and Testing

ERIC Educational Resources Information Center

Wong, Kung-Teck; Osman, Rosma bt; Goh, Pauline Swee Choo; Rahmat, Mohd Khairezan

2013-01-01

This study sets out to validate and test the Technology Acceptance Model (TAM) in the context of Malaysian student teachers' integration of their technology in teaching and learning. To establish factorial validity, data collected from 302 respondents were tested against the TAM using confirmatory factor analysis (CFA), and structural equation…

Examining the Antecedents of ICT Adoption in Education Using an Extended Technology Acceptance Model (TAM)

ERIC Educational Resources Information Center

Teeroovengadum, Viraiyan; Heeraman, Nabeel; Jugurnath, Bhavish

2017-01-01

This study assesses the determinants of ICT adoption by educators in the teaching and learning process in the context of a developing country, Mauritius. A hierarchical regression analysis is used, to firstly determine the incremental effects of factors from the technology acceptance model (TAM) while controlling for demographic variables such as…

Model Organisms and Traditional Chinese Medicine Syndrome Models

PubMed Central

Xu, Jin-Wen

2013-01-01

Traditional Chinese medicine (TCM) is an ancient medical system with a unique cultural background. Nowadays, more and more Western countries due to its therapeutic efficacy are accepting it. However, safety and clear pharmacological action mechanisms of TCM are still uncertain. Due to the potential application of TCM in healthcare, it is necessary to construct a scientific evaluation system with TCM characteristics and benchmark the difference from the standard of Western medicine. Model organisms have played an important role in the understanding of basic biological processes. It is easier to be studied in certain research aspects and to obtain the information of other species. Despite the controversy over suitable syndrome animal model under TCM theoretical guide, it is unquestionable that many model organisms should be used in the studies of TCM modernization, which will bring modern scientific standards into mysterious ancient Chinese medicine. In this review, we aim to summarize the utilization of model organisms in the construction of TCM syndrome model and highlight the relevance of modern medicine with TCM syndrome animal model. It will serve as the foundation for further research of model organisms and for its application in TCM syndrome model. PMID:24381636

Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge.

PubMed

Lau, Jey Han; Clark, Alexander; Lappin, Shalom

2017-07-01

The question of whether humans represent grammatical knowledge as a binary condition on membership in a set of well-formed sentences, or as a probabilistic property has been the subject of debate among linguists, psychologists, and cognitive scientists for many decades. Acceptability judgments present a serious problem for both classical binary and probabilistic theories of grammaticality. These judgements are gradient in nature, and so cannot be directly accommodated in a binary formal grammar. However, it is also not possible to simply reduce acceptability to probability. The acceptability of a sentence is not the same as the likelihood of its occurrence, which is, in part, determined by factors like sentence length and lexical frequency. In this paper, we present the results of a set of large-scale experiments using crowd-sourced acceptability judgments that demonstrate gradience to be a pervasive feature in acceptability judgments. We then show how one can predict acceptability judgments on the basis of probability by augmenting probabilistic language models with an acceptability measure. This is a function that normalizes probability values to eliminate the confounding factors of length and lexical frequency. We describe a sequence of modeling experiments with unsupervised language models drawn from state-of-the-art machine learning methods in natural language processing. Several of these models achieve very encouraging levels of accuracy in the acceptability prediction task, as measured by the correlation between the acceptability measure scores and mean human acceptability values. We consider the relevance of these results to the debate on the nature of grammatical competence, and we argue that they support the view that linguistic knowledge can be intrinsically probabilistic. Copyright © 2016 Cognitive Science Society, Inc.

Ethics and Scientific Integrity in Public Health, Epidemiological and Clinical Research

PubMed Central

Coughlin, Steven S.; Barker, Amyre; Dawson, Angus

2012-01-01

The ethics and scientific integrity of biomedical and public health research requires that researchers behave in appropriate ways. However, this requires more than following of published research guidelines that seek to prevent scientific misconduct relating to serious deviations from widely accepted scientific norms for proposing, conducting, and reporting research (e.g., fabrication or falsification of research data or failures to report potential conflicts of interest). In this paper we argue for a broader account of scientific integrity, one consistent with that defended by the United States Institute of Medicine, involving a commitment to intellectual honesty and personal responsibility for one’s actions as a researcher and to practices consistent with the responsible conduct of research and protection of the research participants. Maintaining high standards of ethical and scientific integrity helps to maintain public trust in the research enterprise. An increasing number of authors have pointed to the importance of mentoring and education in relation to the responsible conduct of science in preventing transgressions of scientific integrity. Just like in clinical research and biomedicine, epidemiologists and other public health researchers have the responsibility to exhibit and foster the very highest standards of scientific integrity. PMID:24532867

Ethics and Scientific Integrity in Public Health, Epidemiological and Clinical Research.

PubMed

Coughlin, Steven S; Barker, Amyre; Dawson, Angus

2012-01-01

The ethics and scientific integrity of biomedical and public health research requires that researchers behave in appropriate ways. However, this requires more than following of published research guidelines that seek to prevent scientific misconduct relating to serious deviations from widely accepted scientific norms for proposing, conducting, and reporting research (e.g., fabrication or falsification of research data or failures to report potential conflicts of interest). In this paper we argue for a broader account of scientific integrity, one consistent with that defended by the United States Institute of Medicine, involving a commitment to intellectual honesty and personal responsibility for one's actions as a researcher and to practices consistent with the responsible conduct of research and protection of the research participants. Maintaining high standards of ethical and scientific integrity helps to maintain public trust in the research enterprise. An increasing number of authors have pointed to the importance of mentoring and education in relation to the responsible conduct of science in preventing transgressions of scientific integrity. Just like in clinical research and biomedicine, epidemiologists and other public health researchers have the responsibility to exhibit and foster the very highest standards of scientific integrity.

Student Misapplication of a Gas-Like Model to Explain Particle Movement in Heated Solids: Implications for Curriculum and Instruction towards Students' Creation and Revision of Accurate Explanatory Models

ERIC Educational Resources Information Center

Bouwma-Gearhart, Jana; Stewart, James; Brown, Keffrelyn

2009-01-01

Understanding the particulate nature of matter (PNM) is vital for participating in many areas of science. We assessed 11 students' atomic/molecular-level explanations of real-world phenomena after their participation in a modelling-based PNM unit. All 11 students offered a scientifically acceptable model regarding atomic/molecular behaviour in…

Are one-stop shops acceptable? Community perspectives on one-stop shop models of sexual health service provision in the UK.

PubMed

Griffiths, C; Gerressu, M; French, R S

2008-10-01

Traditionally, genitourinary medicine (GUM) and contraceptive services have been provided separately. Providing these services on one site, as a one-stop shop, has been suggested as a way of improving access to care. There is little evidence about the acceptability of such an approach. We aimed to assess acceptability of different one-stop shop models (a young people's, an all ages (mainstream) and a general practice service) of sexual health provision among different community groups. Between April and December 2005, 19 semi-structured interviews and 14 focus groups were conducted with young heterosexual men (n = 48), men who have sex with men (MSM; n = 46) and minority ethnic men and women (n = 28) across England. Knowledge of one-stop shops was limited. The concept was acceptable to participants (except MSM), although there was variation as to the preferred model. Young men and African individuals described distrust of general practice confidentiality, preferring young people's or mainstream models, respectively. South Asians associated stigma with GUM, preferring instead a general practice one-stop shop. Regardless of model, respondents expressed preference for one provider/one session to provide GUM and contraceptive care. In terms of acceptability there can be no blue print one-stop shop model. Local assessments should determine whether a one-stop shop would have public health benefit and if so how best one should be set up to maximise access. To accommodate client preference for one provider/session for their sexual health needs it may be that the development of "integrated training" for providers across clinical specialties is a more realistic way forward.

Ethics in scientific communication: study of a problem case.

PubMed

Berger, R L

1994-12-01

The hypothermia experiments performed on humans during the Second World War at the German concentration camp in Dachau have been regarded as crimes against humanity, disguised as medical research. For almost 50 years, scientists maintained that the study produced valuable, even if not totally reliable, information. In recent years, the results from the Dachau hypothermia project were glamorized with life-saving potential and a heated ethical dialogue was activated about the use of life-saving but tainted scientific information. In the wake of the debate, an in-depth examination of the scientific rigour of the project was performed and revealed that neither the science nor the scientists from Dachau could be trusted and that the data were worthless. The body of medical opinion accepted the unfavourable determination but a few scientists and ethicists have continued to endorse the validity, of at least parts, of the Dachau hypothermia data. The conduct of the scientific communications about the Dachau hypothermia experiments by the scientific and ethical communities invites serious consideration of a possible ethical misadventure. It appears that for almost 50 years, the results of the study had been endorsed without careful examination of the scientific base of the experiments and that secondary citation of relevant original material may have been commonly employed. These infractions contributed to a myth that good science was practised by the Nazis at Dachau. The more recent emphasis on the life-saving potential of the Dachau data, without citation of credible supporting evidence, has also been misleading. Similarly, acceptance of a determination by an in-depth examination that the 'whole' Dachau project if flawed with simultaneous endorsement of the validity of 'parts' of the results, poses an ethical problem. It is advisable that before seeking ethical consultation about the use of unethically obtained data, scientists should examine the quality of science behind

Ethics in scientific communication: study of a problem case.

PubMed Central

Berger, R L

1994-01-01

The hypothermia experiments performed on humans during the Second World War at the German concentration camp in Dachau have been regarded as crimes against humanity, disguised as medical research. For almost 50 years, scientists maintained that the study produced valuable, even if not totally reliable, information. In recent years, the results from the Dachau hypothermia project were glamorized with life-saving potential and a heated ethical dialogue was activated about the use of life-saving but tainted scientific information. In the wake of the debate, an in-depth examination of the scientific rigour of the project was performed and revealed that neither the science nor the scientists from Dachau could be trusted and that the data were worthless. The body of medical opinion accepted the unfavourable determination but a few scientists and ethicists have continued to endorse the validity, of at least parts, of the Dachau hypothermia data. The conduct of the scientific communications about the Dachau hypothermia experiments by the scientific and ethical communities invites serious consideration of a possible ethical misadventure. It appears that for almost 50 years, the results of the study had been endorsed without careful examination of the scientific base of the experiments and that secondary citation of relevant original material may have been commonly employed. These infractions contributed to a myth that good science was practised by the Nazis at Dachau. The more recent emphasis on the life-saving potential of the Dachau data, without citation of credible supporting evidence, has also been misleading. Similarly, acceptance of a determination by an in-depth examination that the 'whole' Dachau project if flawed with simultaneous endorsement of the validity of 'parts' of the results, poses an ethical problem. It is advisable that before seeking ethical consultation about the use of unethically obtained data, scientists should examine the quality of science behind

40 CFR 600.007-80 - Vehicle acceptability.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 40 Protection of Environment 29 2010-07-01 2010-07-01 false Vehicle acceptability. 600.007-80... FUEL ECONOMY AND CARBON-RELATED EXHAUST EMISSIONS OF MOTOR VEHICLES Fuel Economy Regulations for 1977 and Later Model Year Automobiles-General Provisions § 600.007-80 Vehicle acceptability. (a) All...

Anticoagulant factor V: factors affecting the integration of novel scientific discoveries into the broader framework.

PubMed

LaBonte, Michelle L

2014-09-01

Since its initial discovery in the 1940s, factor V has long been viewed as an important procoagulant protein in the coagulation cascade. However, in the later part of the 20th century, two different scientists proposed novel anticoagulant roles for factor V. Philip Majerus proposed the first anticoagulant function for factor V in 1983, yet ultimately it was not widely accepted by the broader scientific community. In contrast, Björn Dahlbäck proposed a different anticoagulant role for factor V in 1994. While this role was initially contested, it was ultimately accepted and integrated into the scientific framework. In this paper, I present a detailed historical account of these two anticoagulant discoveries and propose three key reasons why Dahlbäck's anticoagulant role for factor V was accepted whereas Majerus' proposed role was largely overlooked. Perhaps most importantly, Dahlbäck's proposed anticoagulant role was of great clinical interest because the discovery involved the study of an important subset of patients with thrombophilia. Soon after Dahlbäck's 1994 work, this patient population was shown to possess the factor V Leiden mutation. Also key in the ultimate acceptance of the second proposed anticoagulant role was the persistence of the scientist who made the discovery and the interest in and ability of others to replicate and reinforce this work. This analysis of two different yet similar discoveries sheds light on factors that play an important role in how new discoveries are incorporated into the existing scientific framework. Copyright © 2014 The Author. Published by Elsevier Ltd.. All rights reserved.

Examining the Factors That Contribute to Successful Database Application Implementation Using the Technology Acceptance Model

ERIC Educational Resources Information Center

Nworji, Alexander O.

2013-01-01

Most organizations spend millions of dollars due to the impact of improperly implemented database application systems as evidenced by poor data quality problems. The purpose of this quantitative study was to use, and extend, the technology acceptance model (TAM) to assess the impact of information quality and technical quality factors on database…

[Economic Evaluation of Integrated Care Systems - Scientific Standard Specifications, Challenges, Best Practice Model].

PubMed

Pimperl, A; Schreyögg, J; Rothgang, H; Busse, R; Glaeske, G; Hildebrandt, H

2015-12-01

 Transparency of economic performance of integrated care systems (IV) is a basic requirement for the acceptance and further development of integrated care. Diverse evaluation methods are used but are seldom openly discussed because of the proprietary nature of the different business models. The aim of this article is to develop a generic model for measuring economic performance of IV interventions.  A catalogue of five quality criteria is used to discuss different evaluation methods -(uncontrolled before-after-studies, control group-based approaches, regression models). On this -basis a best practice model is proposed.  A regression model based on the German morbidity-based risk structure equalisation scheme (MorbiRSA) has some benefits in comparison to the other methods mentioned. In particular it requires less resources to be implemented and offers advantages concerning the relia-bility and the transparency of the method (=important for acceptance). Also validity is sound. Although RCTs and - also to a lesser -extent - complex difference-in-difference matching approaches can lead to a higher validity of the results, their feasibility in real life settings is limited due to economic and practical reasons. That is why central criticisms of a MorbiRSA-based model were addressed, adaptions proposed and incorporated in a best practice model: Population-oriented morbidity adjusted margin improvement model (P-DBV(MRSA)).  The P-DBV(MRSA) approach may be used as a standardised best practice model for the economic evaluation of IV. Parallel to the proposed approach for measuring economic performance a balanced, quality-oriented performance measurement system should be introduced. This should prevent incentivising IV-players to undertake short-term cost cutting at the expense of quality. © Georg Thieme Verlag KG Stuttgart · New York.

Open Knee: Open Source Modeling & Simulation to Enable Scientific Discovery and Clinical Care in Knee Biomechanics

PubMed Central

Erdemir, Ahmet

2016-01-01

Virtual representations of the knee joint can provide clinicians, scientists, and engineers the tools to explore mechanical function of the knee and its tissue structures in health and disease. Modeling and simulation approaches such as finite element analysis also provide the possibility to understand the influence of surgical procedures and implants on joint stresses and tissue deformations. A large number of knee joint models are described in the biomechanics literature. However, freely accessible, customizable, and easy-to-use models are scarce. Availability of such models can accelerate clinical translation of simulations, where labor intensive reproduction of model development steps can be avoided. The interested parties can immediately utilize readily available models for scientific discovery and for clinical care. Motivated by this gap, this study aims to describe an open source and freely available finite element representation of the tibiofemoral joint, namely Open Knee, which includes detailed anatomical representation of the joint's major tissue structures, their nonlinear mechanical properties and interactions. Three use cases illustrate customization potential of the model, its predictive capacity, and its scientific and clinical utility: prediction of joint movements during passive flexion, examining the role of meniscectomy on contact mechanics and joint movements, and understanding anterior cruciate ligament mechanics. A summary of scientific and clinically directed studies conducted by other investigators are also provided. The utilization of this open source model by groups other than its developers emphasizes the premise of model sharing as an accelerator of simulation-based medicine. Finally, the imminent need to develop next generation knee models are noted. These are anticipated to incorporate individualized anatomy and tissue properties supported by specimen-specific joint mechanics data for evaluation, all acquired in vitro from varying age

Factors Affecting Acceptance of Hospital Information Systems Based on Extended Technology Acceptance Model: A Case Study in Three Paraclinical Departments.

PubMed

Nadri, Hamed; Rahimi, Bahlol; Lotfnezhad Afshar, Hadi; Samadbeik, Mahnaz; Garavand, Ali

2018-04-01

 Regardless of the acceptance of users, information and communication systems can be considered as a health intervention designed to improve the care delivered to patients. This study aimed to determine the adoption and use of the extended Technology Acceptance Model (TAM2) by the users of hospital information system (HIS) in paraclinical departments including laboratory, radiology, and nutrition and to investigate the key factors of adoption and use of these systems.  A standard questionnaire was used to collect the data from nearly 253 users of these systems in paraclinical departments of eight university hospitals in two different cities of Iran. A total of 202 questionnaires including valid responses were used in this study (105 in Urmia and 97 in Khorramabad). The data were processed using LISREL and SPSS software and statistical analysis technique was based on the structural equation modeling (SEM).  It was found that the original TAM constructs had a significant impact on the staffs' behavioral intention to adopt HIS in paraclinical departments. The results of this study indicated that cognitive instrumental processes (job relevance, output quality, result demonstrability, and perceived ease of use), except for result demonstrability, were significant predictors of intention to use, whereas the result revealed no significant relationship between social influence processes (subjective norm, voluntariness, and image) and the users' behavioral intention to use the system.  The results confirmed that several factors in the TAM2 that were important in previous studies were not significant in paraclinical departments and in government-owned hospitals. The users' behavior factors are essential for successful usage of the system and should be considered. It provides valuable information for hospital system providers and policy makers in understanding the adoption challenges as well as practical guidance for the successful implementation of information

Factors Affecting Acceptance & Use of ReWIND: Validating the Extended Unified Theory of Acceptance and Use of Technology

ERIC Educational Resources Information Center

Nair, Pradeep Kumar; Ali, Faizan; Leong, Lim Chee

2015-01-01

Purpose: This study aims to explain the factors affecting students' acceptance and usage of a lecture capture system (LCS)--ReWIND--in a Malaysian university based on the extended unified theory of acceptance and use of technology (UTAUT2) model. Technological advances have become an important feature of universities' plans to improve the…

Computational Scientific Inquiry with Virtual Worlds and Agent-Based Models: New Ways of Doing Science to Learn Science

ERIC Educational Resources Information Center

Jacobson, Michael J.; Taylor, Charlotte E.; Richards, Deborah

2016-01-01

In this paper, we propose computational scientific inquiry (CSI) as an innovative model for learning important scientific knowledge and new practices for "doing" science. This approach involves the use of a "game-like" virtual world for students to experience virtual biological fieldwork in conjunction with using an agent-based…

How to pass a sensor acceptance test: using the gap between acceptance criteria and operational performance

NASA Astrophysics Data System (ADS)

Bijl, Piet

2016-10-01

When acquiring a new imaging system and operational task performance is a critical factor for success, it is necessary to specify minimum acceptance requirements that need to be met using a sensor performance model and/or performance tests. Currently, there exist a variety of models and test from different origin (defense, security, road safety, optometry) and they all do different predictions. This study reviews a number of frequently used methods and shows the effects that small changes in procedure or threshold criteria can have on the outcome of a test. For example, a system may meet the acceptance requirements but not satisfy the needs for the operational task, or the choice of test may determine the rank order of candidate sensors. The goal of the paper is to make people aware of the pitfalls associated with the acquisition process, by i) illustrating potential tricks to have a system accepted that is actually not suited for the operational task, and ii) providing tips to avoid this unwanted situation.

Attitude, Certainty and Allusions to Common Knowledge in Scientific Research Articles

ERIC Educational Resources Information Center

Koutsantoni, Dimitra

2004-01-01

Acceptance of claims made in scientific research articles depends on the "stance" authors take and their resources for "appraisal" (Martin and White, http://www.grammatics.com/appraisal). "Stance" has been defined as "the ways authors project themselves into their texts to communicate their relationship to subject matter and the readers",…

The Remote Brief Intervention and Referral to Treatment Model: Development, Functionality, Acceptability, and Feasibility

PubMed Central

Boudreaux, Edwin D.; Haskins, Brianna; Harralson, Tina; Bernstein, Edward

2015-01-01

Background Screening, brief intervention, and referral to treatment (SBIRT) is effective for reducing risky alcohol use across a variety of medical settings. However, most programs have been unsustainable because of cost and time demands. Telehealth may alleviate on-site clinician burden. This exploratory study examines the feasibility of a new Remote Brief Intervention and Referral to Treatment (R-BIRT) model. Methods Eligible emergency department (ED) patients were enrolled into one of five models. (1) Warm Handoff: clinician-facilitated phone call during ED visit. (2) Patient Direct: patient-initiated call during visit. (3) Electronic Referral: patient contacted by R-BIRT personnel post visit. (4) Patient Choice: choice of models 1–3. (5) Modified Patient Choice: choice of models 1–2, Electronic Referral offered if 1–2 were declined. Once connected, a health coach offered assessment, counseling, and referral to treatment. Follow up assessments were conducted at 1 and 3 months. Primary outcomes measured were acceptance, satisfaction, and completion rates. Results Of 125 eligible patients, 50 were enrolled, for an acceptance rate of 40%. Feedback and satisfaction ratings were generally positive. Completion rates were 58% overall, with patients enrolled into a model wherein the consultation occurred during the ED visit, as opposed to after the visit, much more likely to complete a consultation, 90% vs. 10%, χ2 (4, N=50) = 34.8, p<0.001. Conclusions The R-BIRT offers a feasible alternative to in-person alcohol SBIRT and should be studied further. The public health impact of having accessible, sustainable, evidence-based SBIRT for substance use across a range of medical settings could be considerable. PMID:26297297

The remote brief intervention and referral to treatment model: Development, functionality, acceptability, and feasibility.

PubMed

Boudreaux, Edwin D; Haskins, Brianna; Harralson, Tina; Bernstein, Edward

2015-10-01

Screening, brief intervention, and referral to treatment (SBIRT) is effective for reducing risky alcohol use across a variety of medical settings. However, most programs have been unsustainable because of cost and time demands. Telehealth may alleviate on-site clinician burden. This exploratory study examines the feasibility of a new Remote Brief Intervention and Referral to Treatment (R-BIRT) model. Eligible emergency department (ED) patients were enrolled into one of five models. (1) Warm Handoff: clinician-facilitated phone call during ED visit. (2) Patient Direct: patient-initiated call during visit. (3) Electronic Referral: patient contacted by R-BIRT personnel post visit. (4) Patient Choice: choice of models 1-3. (5) Modified Patient Choice: choice of models 1-2, Electronic Referral offered if 1-2 were declined. Once connected, a health coach offered assessment, counseling, and referral to treatment. Follow up assessments were conducted at 1 and 3 months. Primary outcomes measured were acceptance, satisfaction, and completion rates. Of 125 eligible patients, 50 were enrolled, for an acceptance rate of 40%. Feedback and satisfaction ratings were generally positive. Completion rates were 58% overall, with patients enrolled into a model wherein the consultation occurred during the ED visit, as opposed to after the visit, much more likely to complete a consultation, 90% vs. 10%, χ(2) (4, N=50)=34.8, p<0.001. The R-BIRT offers a feasible alternative to in-person alcohol SBIRT and should be studied further. The public health impact of having accessible, sustainable, evidence-based SBIRT for substance use across a range of medical settings could be considerable. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Acceptance of Swedish e-health services

PubMed Central

Jung, Mary-Louise; Loria, Karla

2010-01-01

Objective: To investigate older people’s acceptance of e-health services, in order to identify determinants of, and barriers to, their intention to use e-health. Method: Based on one of the best-established models of technology acceptance, Technology Acceptance Model (TAM), in-depth exploratory interviews with twelve individuals over 45 years of age and of varying backgrounds are conducted. Results: This investigation could find support for the importance of usefulness and perceived ease of use of the e-health service offered as the main determinants of people’s intention to use the service. Additional factors critical to the acceptance of e-health are identified, such as the importance of the compatibility of the services with citizens’ needs and trust in the service provider. Most interviewees expressed positive attitudes towards using e-health and find these services useful, convenient, and easy to use. Conclusion: E-health services are perceived as a good complement to traditional health care service delivery, even among older people. These people, however, need to become aware of the e-health alternatives that are offered to them and the benefits they provide. PMID:21289860

User acceptance of mobile commerce: an empirical study in Macau

NASA Astrophysics Data System (ADS)

Lai, Ivan K. W.; Lai, Donny C. F.

2014-06-01

This study aims to examine the positive and negative factors that can significantly explain user acceptance of mobile commerce (m-commerce) in Macau. A technology acceptance model for m-commerce with five factors is constructed. The proposed model is tested using data collected from 219 respondents. Confirmatory factor analysis is performed to examine the reliability and validity of the model, and structural equation modelling is performed to access the relationship between behaviour intention and each factor. The acceptance of m-commerce is influenced by factors including performance expectancy, social influence, facilitating conditions and privacy concern; while effort expectancy is insignificant in this case. The results of the study are useful for m-commerce service providers to adjust their strategies for promoting m-commerce services. This study contributes to the practice by providing a user technology acceptance model for m-commerce that can be used as a foundation for future research.

Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience

PubMed Central

Rübel, Oliver; Dougherty, Max; Prabhat; Denes, Peter; Conant, David; Chang, Edward F.; Bouchard, Kristofer

2016-01-01

Neuroscience continues to experience a tremendous growth in data; in terms of the volume and variety of data, the velocity at which data is acquired, and in turn the veracity of data. These challenges are a serious impediment to sharing of data, analyses, and tools within and across labs. Here, we introduce BRAINformat, a novel data standardization framework for the design and management of scientific data formats. The BRAINformat library defines application-independent design concepts and modules that together create a general framework for standardization of scientific data. We describe the formal specification of scientific data standards, which facilitates sharing and verification of data and formats. We introduce the concept of Managed Objects, enabling semantic components of data formats to be specified as self-contained units, supporting modular and reusable design of data format components and file storage. We also introduce the novel concept of Relationship Attributes for modeling and use of semantic relationships between data objects. Based on these concepts we demonstrate the application of our framework to design and implement a standard format for electrophysiology data and show how data standardization and relationship-modeling facilitate data analysis and sharing. The format uses HDF5, enabling portable, scalable, and self-describing data storage and integration with modern high-performance computing for data-driven discovery. The BRAINformat library is open source, easy-to-use, and provides detailed user and developer documentation and is freely available at: https://bitbucket.org/oruebel/brainformat. PMID:27867355

Belief versus acceptance: why do people not believe in evolution?

PubMed

Williams, James D

2009-11-01

Despite being an established and accepted scientific theory for 150 years, repeated public polls show that evolution is not believed by large numbers of people. This essay examines why people do not accept evolution and argues that its poor representation in some science textbooks allows misconceptions, established and reinforced in early childhood, to take hold. There is also a lack of up-to-date examples of evidence for evolution in school textbooks. Poor understanding by science graduates and teachers of the nature of science and incorrect definitions by them of key terminology, serve only to undermine efforts to improve public understanding of evolution. This paper has several recommendations, including the introduction of evolution to primary age children and a call to bring evolution back as the central tenet of biology.

Regulatory Acceptance of Alternative Methods in the Development and Approval of Pharmaceuticals.

PubMed

Beken, Sonja; Kasper, Peter; van der Laan, Jan-Willem

Animal studies may be carried out to support first administration of a new medicinal product to either humans or the target animal species, or before performing clinical trials in even larger populations, or before marketing authorisation, or to control quality during production. Ethical and animal welfare considerations require that animal use is limited as much as possible. Directive 2010/63/EU on the protection of animals used for scientific purposes unambiguously fosters the application of the principle of the 3Rs when considering the choice of methods to be used.As such, today, the 3Rs are embedded in the relevant regulatory guidance both at the European (European Medicines Agency (EMA)) and (Veterinary) International Conference on Harmonization ((V)ICH) levels. With respect to non-clinical testing requirements for human medicinal products, reduction and replacement of animal testing has been achieved by the regulatory acceptance of new in vitro methods, either as pivotal, supportive or exploratory mechanistic studies. Whilst replacement of animal studies remains the ultimate goal, approaches aimed at reducing or refining animal studies have also been routinely implemented in regulatory guidelines, where applicable. The chapter provides an overview of the implementation of 3Rs in the drafting of non-clinical testing guidelines for human medicinal products at the level of the ICH. In addition, the revision of the ICH S2 guideline on genotoxicity testing and data interpretation for pharmaceuticals intended for human use is discussed as a case study.In October 2010, the EMA established a Joint ad hoc Expert Group (JEG 3Rs) with the mandate to improve and foster the application of 3Rs principles to the regulatory testing of medicinal products throughout their lifecycle. As such, a Guideline on regulatory acceptance of 3R testing approaches was drafted that defines regulatory acceptance and provides guidance on the scientific and technical criteria for regulatory

Identifying Students' Mental Models of Sound Propagation: The Role of Conceptual Blending in Understanding Conceptual Change

ERIC Educational Resources Information Center

Hrepic, Zdeslav; Zollman, Dean A.; Rebello, N. Sanjay

2010-01-01

We investigated introductory physics students' mental models of sound propagation. We used a phenomenographic method to analyze the data in the study. In addition to the scientifically accepted Wave model, students used the "Entity" model to describe the propagation of sound. In this latter model sound is a self-standing entity,…

Assessment of model behavior and acceptable forcing data uncertainty in the context of land surface soil moisture estimation

NASA Astrophysics Data System (ADS)

Dumedah, Gift; Walker, Jeffrey P.

2017-03-01

The sources of uncertainty in land surface models are numerous and varied, from inaccuracies in forcing data to uncertainties in model structure and parameterizations. Majority of these uncertainties are strongly tied to the overall makeup of the model, but the input forcing data set is independent with its accuracy usually defined by the monitoring or the observation system. The impact of input forcing data on model estimation accuracy has been collectively acknowledged to be significant, yet its quantification and the level of uncertainty that is acceptable in the context of the land surface model to obtain a competitive estimation remain mostly unknown. A better understanding is needed about how models respond to input forcing data and what changes in these forcing variables can be accommodated without deteriorating optimal estimation of the model. As a result, this study determines the level of forcing data uncertainty that is acceptable in the Joint UK Land Environment Simulator (JULES) to competitively estimate soil moisture in the Yanco area in south eastern Australia. The study employs hydro genomic mapping to examine the temporal evolution of model decision variables from an archive of values obtained from soil moisture data assimilation. The data assimilation (DA) was undertaken using the advanced Evolutionary Data Assimilation. Our findings show that the input forcing data have significant impact on model output, 35% in root mean square error (RMSE) for 5cm depth of soil moisture and 15% in RMSE for 15cm depth of soil moisture. This specific quantification is crucial to illustrate the significance of input forcing data spread. The acceptable uncertainty determined based on dominant pathway has been validated and shown to be reliable for all forcing variables, so as to provide optimal soil moisture. These findings are crucial for DA in order to account for uncertainties that are meaningful from the model standpoint. Moreover, our results point to a proper

Health research access to personal confidential data in England and Wales: assessing any gap in public attitude between preferable and acceptable models of consent.

PubMed

Taylor, Mark J; Taylor, Natasha

2014-12-01

England and Wales are moving toward a model of 'opt out' for use of personal confidential data in health research. Existing research does not make clear how acceptable this move is to the public. While people are typically supportive of health research, when asked to describe the ideal level of control there is a marked lack of consensus over the preferred model of consent (e.g. explicit consent, opt out etc.). This study sought to investigate a relatively unexplored difference between the consent model that people prefer and that which they are willing to accept. It also sought to explore any reasons for such acceptance.A mixed methods approach was used to gather data, incorporating a structured questionnaire and in-depth focus group discussions led by an external facilitator. The sampling strategy was designed to recruit people with different involvement in the NHS but typically with experience of NHS services. Three separate focus groups were carried out over three consecutive days.The central finding is that people are typically willing to accept models of consent other than that which they would prefer. Such acceptance is typically conditional upon a number of factors, including: security and confidentiality, no inappropriate commercialisation or detrimental use, transparency, independent overview, the ability to object to any processing considered to be inappropriate or particularly sensitive.This study suggests that most people would find research use without the possibility of objection to be unacceptable. However, the study also suggests that people who would prefer to be asked explicitly before data were used for purposes beyond direct care may be willing to accept an opt out model of consent if the reasons for not seeking explicit consent are accessible to them and they trust that data is only going to be used under conditions, and with safeguards, that they would consider to be acceptable even if not preferable.

Perceived usefulness and perceived ease of use of electronic health records among nurses: Application of Technology Acceptance Model.

PubMed

Tubaishat, Ahmad

2017-09-18

Electronic health records (EHRs) are increasingly being implemented in healthcare organizations but little attention has been paid to the degree to which nurses as end-users will accept these systems and subsequently use them. To explore nurses' perceptions of usefulness and ease-of-use of EHRs. The relationship between these constructs was examined, and its predictors were studied. A national exploratory study was conducted with 1539 nurses from 15 randomly selected hospitals, representative of different regions and healthcare sectors in Jordan. Data were collected using a self-administered questionnaire, which was based on the Technology Acceptance Model. Correlations and linear multiple regression were utilized to analyze the data. Jordanian nurses demonstrated a positive perception of the usefulness and ease-of-use of EHRs, and subsequently accepted the technology. Significant positive correlations were found between these two constructs. The variables that predict usefulness were the gender, professional rank, EHR experience, and computer skills of the nurses. The perceived ease-of-use was affected by nursing and EHR experience, and computers skills. This study adds to the growing body of knowledge on issues related to the acceptance of technology in the health informatics field, focusing on nurses' acceptance of EHRs.

Scientific Integrity and Consensus in the Intergovernmental Panel on Climate Change Assessment Process

NASA Astrophysics Data System (ADS)

Barrett, K.

2017-12-01

Scientific integrity is the hallmark of any assessment and is a paramount consideration in the Intergovernmental Panel on Climate Change (IPCC) assessment process. Procedures are in place for rigorous scientific review and to quantify confidence levels and uncertainty in the communication of key findings. However, the IPCC is unique in that its reports are formally accepted by governments through consensus agreement. This presentation will present the unique requirements of the IPCC intergovernmental assessment and discuss the advantages and challenges of its approach.

Scientific rigor through videogames.

PubMed

Treuille, Adrien; Das, Rhiju

2014-11-01

Hypothesis-driven experimentation - the scientific method - can be subverted by fraud, irreproducibility, and lack of rigorous predictive tests. A robust solution to these problems may be the 'massive open laboratory' model, recently embodied in the internet-scale videogame EteRNA. Deploying similar platforms throughout biology could enforce the scientific method more broadly. Copyright © 2014 Elsevier Ltd. All rights reserved.

Determining the Capacity Model of Urban Roundabouts, Considering the Drivers’ Behaviour in Accepting and Rejecting of Gaps

NASA Astrophysics Data System (ADS)

Bargegol, Iraj; Hamze Hosseini, Seyyed; Jahangir Samet, Mehdi

2017-10-01

Nowadays, urban roundabouts are one of the most popular types of intersections that have grown highly all over the world. Thus, the accurate and engineering design of these types of intersections has a significant effect on improving their traffic performance. The capacity is one of the important traffic parameters in different intersections, which represents the maximum volume of vehicles entering the roundabouts. There are two general methods for determining the capacity of intersections including the use of analytical models such as gap acceptance model and the use of empirical methods (regression model). In the present paper, using the collected data such as entry and circulating volume, both accepted and rejected gaps were studied for three urban roundabouts and the capacity model have been determined by the use of analytical method. After implementation of the data, they became consistent and homogeneous in four different groups and the most optimized range of critical gaps as well as the follow up time were separately determined for each of these groups by using conventional methods such as Sigloch, Raff, Wu, and Harder and according to statistical analyses with a confidence level of 95%. From the obtained results, a range of 3.03 - 3.32 s for critical gap of the studied roundabouts and the range of 1.3 - 1.7 s for follow up time could be mentioned. It was used from the theory of gap acceptance in order to determine urban roundabouts capacity model, in which these gaps have a random nature and follow negative exponential distribution and by conducting this analysis (also has been used by Sigloch), some relations were obtained for determining the capacity of the roundabouts according to the impact of circulating volume and drivers’ behaviour. The results indicate that the maximum capacity of the roundabouts in the microscopic models is equal to 2400 veh/h, when the circulating flow rate is reached zero. Moreover, according to the obtained capacity model

Report of the Annual Scientific Session of the American College of Cardiology (ACC) 2018, Orlando.

PubMed

Hashimoto, Takuya; Ako, Junya

2018-04-28

The 67 th Annual Scientific Session and Expo of the American College of Cardiology (ACC) were held at the Orange County Convention Center, Orlando, from March 10-12, 2018. This meeting offered 2,700 accepted abstracts presented in oral and poster sessions by 2,100 experts and 37 Late-Breaking Clinical Trials and Featured Clinical Research presentations. This report introduces the key presentations and highlights from the ACC 2018 Scientific Session.

Exploring critical factors influencing physicians' acceptance of mobile electronic medical records based on the dual-factor model: a validation in Taiwan.

PubMed

Liu, Chung-Feng; Cheng, Tain-Junn

2015-02-07

With respect to information management, most of the previous studies on the acceptance of healthcare information technologies were analyzed from "positive" perspectives. However, such acceptance is always influenced by both positive and negative factors and it is necessary to validate both in order to get a complete understanding. This study aims to explore physicians' acceptance of mobile electronic medical records based on the dual-factor model, which is comprised of inhibitors and enablers, to explain an individual's technology usage. Following an earlier healthcare study in the USA, the researchers conducted a similar survey for an Eastern country (Taiwan) to validate whether perceived threat to professional autonomy acts as a critical inhibitor. In addition, perceived mobility, which is regarded as a critical feature of mobile services, was also evaluated as a common antecedent variable in the model. Physicians from three branch hospitals of a medical group were invited to participate and complete questionnaires. Partial least squares, a structural equation modeling technique, was used to evaluate the proposed model for explanatory power and hypotheses testing. 158 valid questionnaires were collected, yielding a response rate of 33.40%. As expected, the inhibitor of perceived threat has a significant impact on the physicians' perceptions of usefulness as well as their intention to use. The enablers of perceived ease of use and perceived usefulness were also significant. In addition, as expected, perceived mobility was confirmed to have a significant impact on perceived ease of use, perceived usefulness and perceived threat. It was confirmed that the dual-factor model is a comprehensive method for exploring the acceptance of healthcare information technologies, both in Western and Eastern countries. Furthermore, perceived mobility was proven to be an effective antecedent variable in the model. The researchers believe that the results of this study will

Test of the technology acceptance model for a Web-based information system in a Hong Kong Chinese sample.

PubMed

Cheung, Emily Yee Man; Sachs, John

2006-12-01

The modified technology acceptance model was used to predict actual Blackboard usage (a web-based information system) in a sample of 57 Hong Kong student teachers whose mean age was 27.8 yr. (SD = 6.9). While the general form of the model was supported, Application-specific Self-efficacy was a more powerful predictor of system use than Behavioural Intention as predicted by the theory of reasoned action. Thus in this cultural and educational context, it has been shown that the model does not fully mediate the effect of Self-efficacy on System Use. Also, users' Enjoyment exerted considerable influence on the component variables of Usefulness and Ease of Use and on Application-specific Self-efficacy, thus indirectly influencing system usage. Consequently, efforts to gain students' acceptance and, therefore, use of information systems such as Blackboard must pay adequate attention to users' Self-efficacy and motivational variables such as Enjoyment.

Does the acceptance of hybrid learning affect learning approaches in France?

PubMed

Marco, Lionel Di; Venot, Alain; Gillois, Pierre

2017-01-01

Acceptance of a learning technology affects students' intention to use that technology, but the influence of the acceptance of a learning technology on learning approaches has not been investigated in the literature. A deep learning approach is important in the field of health, where links must be created between skills, knowledge, and habits. Our hypothesis was that acceptance of a hybrid learning model would affect students' way of learning. We analysed these concepts, and their correlations, in the context of a flipped classroom method using a local learning management system. In a sample of all students within a single year of study in the midwifery program (n= 38), we used 3 validated scales to evaluate these concepts (the Study Process Questionnaire, My Intellectual Work Tools, and the Hybrid E-Learning Acceptance Model: Learner Perceptions). Our sample had a positive acceptance of the learning model, but a neutral intention to use it. Students reported that they were distractible during distance learning. They presented a better mean score for the deep approach than for the superficial approach (P< 0.001), which is consistent with their declared learning strategies (personal reorganization of information; search and use of examples). There was no correlation between poor acceptance of the learning model and inadequate learning approaches. The strategy of using deep learning techniques was moderately correlated with acceptance of the learning model (r s = 0.42, P= 0.03). Learning approaches were not affected by acceptance of a hybrid learning model, due to the flexibility of the tool. However, we identified problems in the students' time utilization, which explains their neutral intention to use the system.

Does the acceptance of hybrid learning affect learning approaches in France?

PubMed Central

2017-01-01

Purpose Acceptance of a learning technology affects students’ intention to use that technology, but the influence of the acceptance of a learning technology on learning approaches has not been investigated in the literature. A deep learning approach is important in the field of health, where links must be created between skills, knowledge, and habits. Our hypothesis was that acceptance of a hybrid learning model would affect students’ way of learning. Methods We analysed these concepts, and their correlations, in the context of a flipped classroom method using a local learning management system. In a sample of all students within a single year of study in the midwifery program (n= 38), we used 3 validated scales to evaluate these concepts (the Study Process Questionnaire, My Intellectual Work Tools, and the Hybrid E-Learning Acceptance Model: Learner Perceptions). Results Our sample had a positive acceptance of the learning model, but a neutral intention to use it. Students reported that they were distractible during distance learning. They presented a better mean score for the deep approach than for the superficial approach (P< 0.001), which is consistent with their declared learning strategies (personal reorganization of information; search and use of examples). There was no correlation between poor acceptance of the learning model and inadequate learning approaches. The strategy of using deep learning techniques was moderately correlated with acceptance of the learning model (rs= 0.42, P= 0.03). Conclusion Learning approaches were not affected by acceptance of a hybrid learning model, due to the flexibility of the tool. However, we identified problems in the students’ time utilization, which explains their neutral intention to use the system. PMID:29051406

Stepping into the Unknown: Three Models for the Teaching and Learning of the Opening Sections of Scientific Articles

ERIC Educational Resources Information Center

Falk, Hedda; Yarden, Anat

2011-01-01

Different genres of scientific articles have begun to diffuse into science curricula. Among them, adapted primary literature (APL) retains the characteristics of scientific research articles, while adapting their contents to the knowledge level of students in the 11th to 12th grades. We present three models for the teaching and learning of the…

Bridging the Gap between Social Acceptance and Ethical Acceptability.

PubMed

Taebi, Behnam

2017-10-01

New technology brings great benefits, but it can also create new and significant risks. When evaluating those risks in policymaking, there is a tendency to focus on social acceptance. By solely focusing on social acceptance, we could, however, overlook important ethical aspects of technological risk, particularly when we evaluate technologies with transnational and intergenerational risks. I argue that good governance of risky technology requires analyzing both social acceptance and ethical acceptability. Conceptually, these two notions are mostly complementary. Social acceptance studies are not capable of sufficiently capturing all the morally relevant features of risky technologies; ethical analyses do not typically include stakeholders' opinions, and they therefore lack the relevant empirical input for a thorough ethical evaluation. Only when carried out in conjunction are these two types of analysis relevant to national and international governance of risky technology. I discuss the Rawlsian wide reflective equilibrium as a method for marrying social acceptance and ethical acceptability. Although the rationale of my argument is broadly applicable, I will examine the case of multinational nuclear waste repositories in particular. This example will show how ethical issues may be overlooked if we focus only on social acceptance, and will provide a test case for demonstrating how the wide reflective equilibrium can help to bridge the proverbial acceptance-acceptability gap. © 2016 The Authors Risk Analysis published by Wiley Periodicals, Inc. on behalf of Society for Risk Analysis.

Model of Information and Communication Technology (ICT) Acceptance and Use for Teaching Staff in Sub-Saharan Africa Public Higher Education Institutions

ERIC Educational Resources Information Center

Ouedraogo, Boukary

2017-01-01

This article uses data survey on 82 teachers from the University of Ouagadougou and the model of unified theory of acceptance and use of technology (UTAUT) to assess the determinants of acceptance and educational use of ICT by teachers. The paper's outcomes show that the construct "performance expectancy" of ICT (expected utility and…

The Dogma of "The" Scientific Method.

ERIC Educational Resources Information Center

Wivagg, Dan; Allchin, Douglas

2002-01-01

Points out major problems with the scientific method as a model for learning about methodology in science and suggests teaching about the scientists' toolbox to remedy problems with the conventional scientific method. (KHR)

Is risk analysis scientific?

PubMed

Hansson, Sven Ove; Aven, Terje

2014-07-01

This article discusses to what extent risk analysis is scientific in view of a set of commonly used definitions and criteria. We consider scientific knowledge to be characterized by its subject matter, its success in developing the best available knowledge in its fields of study, and the epistemic norms and values that guide scientific investigations. We proceed to assess the field of risk analysis according to these criteria. For this purpose, we use a model for risk analysis in which science is used as a base for decision making on risks, which covers the five elements evidence, knowledge base, broad risk evaluation, managerial review and judgment, and the decision; and that relates these elements to the domains experts and decisionmakers, and to the domains fact-based or value-based. We conclude that risk analysis is a scientific field of study, when understood as consisting primarily of (i) knowledge about risk-related phenomena, processes, events, etc., and (ii) concepts, theories, frameworks, approaches, principles, methods and models to understand, assess, characterize, communicate, and manage risk, in general and for specific applications (the instrumental part). © 2014 Society for Risk Analysis.

Predicting the Operational Acceptability of Route Advisories

NASA Technical Reports Server (NTRS)

Evans, Antony; Lee, Paul

2017-01-01

NASA envisions a future Air Traffic Management system that allows safe, efficient growth in global operations, enabled by increasing levels of automation and autonomy. In a safety-critical system, the introduction of increasing automation and autonomy has to be done in stages, making human-system integrated concepts critical in the foreseeable future. One example where this is relevant is for tools that generate more efficient flight routings or reroute advisories. If these routes are not operationally acceptable, they will be rejected by human operators, and the associated benefits will not be realized. Operational acceptance is therefore required to enable the increased efficiency and reduced workload benefits associated with these tools. In this paper, the authors develop a predictor of operational acceptability for reroute advisories. Such a capability has applications in tools that identify more efficient routings around weather and congestion and that better meet airline preferences. The capability is based on applying data mining techniques to flight plan amendment data reported by the Federal Aviation Administration and data on requested reroutes collected from a field trial of the NASA developed Dynamic Weather Routes tool, which advised efficient route changes to American Airlines dispatchers in 2014. 10-Fold cross validation was used for feature, model and parameter selection, while nested cross validation was used to validate the model. The model performed well in predicting controller acceptance or rejection of a route change as indicated by chosen performance metrics. Features identified as relevant to controller acceptance included the historical usage of the advised route, the location of the maneuver start point relative to the boundaries of the airspace sector containing the maneuver start (the maneuver start sector), the reroute deviation from the original flight plan, and the demand level in the maneuver start sector. A random forest with forty

Built To Last: Using Iterative Development Models for Sustainable Scientific Software Development

NASA Astrophysics Data System (ADS)

Jasiak, M. E.; Truslove, I.; Savoie, M.

2013-12-01

In scientific research, software development exists fundamentally for the results they create. The core research must take focus. It seems natural to researchers, driven by grant deadlines, that every dollar invested in software development should be used to push the boundaries of problem solving. This system of values is frequently misaligned with those of the software being created in a sustainable fashion; short-term optimizations create longer-term sustainability issues. The National Snow and Ice Data Center (NSIDC) has taken bold cultural steps in using agile and lean development and management methodologies to help its researchers meet critical deadlines, while building in the necessary support structure for the code to live far beyond its original milestones. Agile and lean software development and methodologies including Scrum, Kanban, Continuous Delivery and Test-Driven Development have seen widespread adoption within NSIDC. This focus on development methods is combined with an emphasis on explaining to researchers why these methods produce more desirable results for everyone, as well as promoting developers interacting with researchers. This presentation will describe NSIDC's current scientific software development model, how this addresses the short-term versus sustainability dichotomy, the lessons learned and successes realized by transitioning to this agile and lean-influenced model, and the current challenges faced by the organization.

Not All Skepticism Is Equal: Exploring the Ideological Antecedents of Science Acceptance and Rejection

PubMed Central

Rutjens, Bastiaan T.; Sutton, Robbie M.; van der Lee, Romy

2017-01-01

Many topics that scientists investigate speak to people’s ideological worldviews. We report three studies—including an analysis of large-scale survey data—in which we systematically investigate the ideological antecedents of general faith in science and willingness to support science, as well as of science skepticism of climate change, vaccination, and genetic modification (GM). The main predictors are religiosity and political orientation, morality, and science understanding. Overall, science understanding is associated with vaccine and GM food acceptance, but not climate change acceptance. Importantly, different ideological predictors are related to the acceptance of different scientific findings. Political conservatism best predicts climate change skepticism. Religiosity, alongside moral purity concerns, best predicts vaccination skepticism. GM food skepticism is not fueled by religious or political ideology. Finally, religious conservatives consistently display a low faith in science and an unwillingness to support science. Thus, science acceptance and rejection have different ideological roots, depending on the topic of investigation. PMID:29191107

Local tolerance testing under REACH: Accepted non-animal methods are not on equal footing with animal tests.

PubMed

Sauer, Ursula G; Hill, Erin H; Curren, Rodger D; Raabe, Hans A; Kolle, Susanne N; Teubner, Wera; Mehling, Annette; Landsiedel, Robert

2016-07-01

In general, no single non-animal method can cover the complexity of any given animal test. Therefore, fixed sets of in vitro (and in chemico) methods have been combined into testing strategies for skin and eye irritation and skin sensitisation testing, with pre-defined prediction models for substance classification. Many of these methods have been adopted as OECD test guidelines. Various testing strategies have been successfully validated in extensive in-house and inter-laboratory studies, but they have not yet received formal acceptance for substance classification. Therefore, under the European REACH Regulation, data from testing strategies can, in general, only be used in so-called weight-of-evidence approaches. While animal testing data generated under the specific REACH information requirements are per se sufficient, the sufficiency of weight-of-evidence approaches can be questioned under the REACH system, and further animal testing can be required. This constitutes an imbalance between the regulatory acceptance of data from approved non-animal methods and animal tests that is not justified on scientific grounds. To ensure that testing strategies for local tolerance testing truly serve to replace animal testing for the REACH registration 2018 deadline (when the majority of existing chemicals have to be registered), clarity on their regulatory acceptance as complete replacements is urgently required. 2016 FRAME.

Acceptance of standardized ultrasound classification, use of albendazole, and long-term follow-up in clinical management of cystic echinococcosis: a systematic review.

PubMed

Tamarozzi, Francesca; Nicoletti, Giovanni J; Neumayr, Andreas; Brunetti, Enrico

2014-10-01

Cystic echinococcosis is a chronic, complex, and neglected disease. The need for a simple classification of cyst morphology that would provide an accepted framework for scientific and clinical work on cystic echinococcosis has been addressed by two documents issued by the WHO Informal Working Group on Echinococcosis in 2003 (cyst classification) and in 2010 (Expert consensus for the diagnosis and treatment of echinococcosis). Here we evaluate the use of the WHO Informal Working Group on Echinococcosis classification of hepatic cystic echinococcosis, the acceptance by clinicians of recommendations regarding the use of albendazole, and the implementation of the long-term follow-up of patients with hepatic cystic echinococcosis in the scientific literature since the WHO Informal Working Group on Echinococcosis recommendations were issued. Of the publications included in our review, 71.2% did not indicate any classification, whereas 14% used the WHO Informal Working Group on Echinococcosis classification. Seventy-four percent reported the administration of peri-interventional albendazole, although less than half reported its modality, and 51% the length of patient follow-up. A joint effort is needed from the scientific community to encourage the acceptance and implementation of these three key issues in the clinical management of cystic echinococcosis.

Distribution of authorship in a scientific work.

PubMed

Petroianu, Andy

2012-01-01

To publish became almost compulsory in Medicine. There is no doubt about the importance of publishing research, but the ordering of its authors is not easy. The lack of internationally accepted criteria led to the establishment of several groups or conventions particularized medical and scientific sectors. To present numerical method to establish rule of value to people who carried out the research, and whether or not incorporated as authors. The proposed score is based on the needs of each step when conducting a scientific work. They were divided into topics in which the main ones were: 1) scientific criteria for authorship; 2) create the idea that originated the work and develop hypotheses; 3) structure the method of work; 4) guiding the work; 5) write the manuscript; 6) coordinate the group that carried out the work; 7) reviewing the literature; 8) suggestions incorporated into the work; 9) to solve fundamental problems of labor; 10) to collect data; 11) presentation at scientific meetings; 12 ) lead the job and raise funds; 13) providing patients or material; 14) to do the routine needs; 15) specific fee to participate; 16) criteria for ranking the authors; 17) honorary author; 18) usurpation of the main authorship, 19) acknowledgments . It is important to emphasize that, to prevent major conflicts, the group that is willing to conduct a scientific work should establish at the outset, as objectively as possible, the criteria to be adopted for distribution of authorship. The subjective criteria here proposed avoid interference and prevent conflicts of interest.

Bring NASA Scientific Data into GIS

NASA Astrophysics Data System (ADS)

Xu, H.

2016-12-01

NASA's Earth Observation System (EOS) and many other missions produce data of huge volume and near real time which drives the research and understanding of climate change. Geographic Information System (GIS) is a technology used for the management, visualization and analysis of spatial data. Since it's inception in the 1960s, GIS has been applied to many fields at the city, state, national, and world scales. People continue to use it today to analyze and visualize trends, patterns, and relationships from the massive datasets of scientific data. There is great interest in both the scientific and GIS communities in improving technologies that can bring scientific data into a GIS environment, where scientific research and analysis can be shared through the GIS platform to the public. Most NASA scientific data are delivered in the Hierarchical Data Format (HDF), a format is both flexible and powerful. However, this flexibility results in challenges when trying to develop supported GIS software - data stored with HDF formats lack a unified standard and convention among these products. The presentation introduces an information model that enables ArcGIS software to ingest NASA scientific data and create a multidimensional raster - univariate and multivariate hypercubes - for scientific visualization and analysis. We will present the framework how ArcGIS leverages the open source GDAL (Geospatial Data Abstract Library) to support its raster data access, discuss how we overcame the GDAL drivers limitations in handing scientific products that are stored with HDF4 and HDF5 formats and how we improve the way in modeling the multidimensionality with GDAL. In additional, we will talk about the direction of ArcGIS handling NASA products and demonstrate how the multidimensional information model can help scientists work with various data products such as MODIS, MOPPIT, SMAP as well as many data products in a GIS environment.

The process of accepting breast cancer among Chinese women: A grounded theory study.

PubMed

Chen, Shuang-Qin; Liu, Jun-E; Li, Zhi; Su, Ya-Li

2017-06-01

To describe the process by which Chinese women accept living with breast cancer. Individual interviews were conducted with 18 Chinese women who completed breast cancer treatment. Data were collected from September 2014 to January 2015 at a large tertiary teaching hospital in Beijing, China. In this grounded theory study, data were analyzed using constant comparative and coding analysis methods. In order to explain the process of accepting having breast cancer among women in China through the grounded theory study, a model that includes 5 axial categories was developed. Cognitive reconstruction emerged as the core category. The extent to which the women with breast cancer accepted having the disease was found to increase with the treatment stage and as their treatment stage progressed with time. The accepting process included five stages: non-acceptance, passive acceptance, willingness to accept, behavioral acceptance, and transcendence of acceptance. Our study using grounded theory study develops a model describing the process by which women accept having breast cancer. The model provides some intervention opportunities at every point of the process. Copyright © 2017. Published by Elsevier Ltd.

Perceived Convenience in an Extended Technology Acceptance Model: Mobile Technology and English Learning for College Students

ERIC Educational Resources Information Center

Chang, Chi-Cheng; Yan, Chi-Fang; Tseng, Ju-Shih

2012-01-01

Since convenience is one of the features for mobile learning, does it affect attitude and intention of using mobile technology? The technology acceptance model (TAM), proposed by David (1989), was extended with perceived convenience in the present study. With regard to English language mobile learning, the variables in the extended TAM and its…

Agent-based computational models to explore diffusion of medical innovations among cardiologists.

PubMed

Borracci, Raul A; Giorgi, Mariano A

2018-04-01

Diffusion of medical innovations among physicians rests on a set of theoretical assumptions, including learning and decision-making under uncertainty, social-normative pressures, medical expert knowledge, competitive concerns, network performance effects, professional autonomy or individualism and scientific evidence. The aim of this study was to develop and test four real data-based, agent-based computational models (ABM) to qualitatively and quantitatively explore the factors associated with diffusion and application of innovations among cardiologists. Four ABM were developed to study diffusion and application of medical innovations among cardiologists, considering physicians' network connections, leaders' opinions, "adopters' categories", physicians' autonomy, scientific evidence, patients' pressure, affordability for the end-user population, and promotion from companies. Simulations demonstrated that social imitation among local cardiologists was sufficient for innovation diffusion, as long as opinion leaders did not act as detractors of the innovation. Even in the absence of full scientific evidence to support innovation, up to one-fifth of cardiologists could accept it when local leaders acted as promoters. Patients' pressure showed a large effect size (Cohen's d > 1.2) on the proportion of cardiologists applying an innovation. Two qualitative patterns (speckled and granular) appeared associated to traditional Gompertz and sigmoid cumulative distributions. These computational models provided a semiquantitative insight on the emergent collective behavior of a physician population facing the acceptance or refusal of medical innovations. Inclusion in the models of factors related to patients' pressure and accesibility to medical coverage revealed the contrast between accepting and effectively adopting a new product or technology for population health care. Copyright © 2018 Elsevier B.V. All rights reserved.

Jupyter meets Earth: Creating Comprehensible and Reproducible Scientific Workflows with Jupyter Notebooks and Google Earth Engine

NASA Astrophysics Data System (ADS)

Erickson, T.

2016-12-01

Deriving actionable information from Earth observation data obtained from sensors or models can be quite complicated, and sharing those insights with others in a form that they can understand, reproduce, and improve upon is equally difficult. Journal articles, even if digital, commonly present just a summary of an analysis that cannot be understood in depth or reproduced without major effort on the part of the reader. Here we show a method of improving scientific literacy by pairing a recently developed scientific presentation technology (Jupyter Notebooks) with a petabyte-scale platform for accessing and analyzing Earth observation and model data (Google Earth Engine). Jupyter Notebooks are interactive web documents that mix live code with annotations such as rich-text markup, equations, images, videos, hyperlinks and dynamic output. Notebooks were first introduced as part of the IPython project in 2011, and have since gained wide acceptance in the scientific programming community, initially among Python programmers but later by a wide range of scientific programming languages. While Jupyter Notebooks have been widely adopted for general data analysis, data visualization, and machine learning, to date there have been relatively few examples of using Jupyter Notebooks to analyze geospatial datasets. Google Earth Engine is cloud-based platform for analyzing geospatial data, such as satellite remote sensing imagery and/or Earth system model output. Through its Python API, Earth Engine makes petabytes of Earth observation data accessible, and provides hundreds of algorithmic building blocks that can be chained together to produce high-level algorithms and outputs in real-time. We anticipate that this technology pairing will facilitate a better way of creating, documenting, and sharing complex analyses that derive information on our Earth that can be used to promote broader understanding of the complex issues that it faces. http://jupyter.orghttps://earthengine.google.com

Investigating IT Faculty Resistance to Learning Management System Adoption Using Latent Variables in an Acceptance Technology Model.

PubMed

Bousbahi, Fatiha; Alrazgan, Muna Saleh

2015-01-01

To enhance instruction in higher education, many universities in the Middle East have chosen to introduce learning management systems (LMS) to their institutions. However, this new educational technology is not being used at its full potential and faces resistance from faculty members. To investigate this phenomenon, we conducted an empirical research study to uncover factors influencing faculty members' acceptance of LMS. Thus, in the Fall semester of 2014, Information Technology faculty members were surveyed to better understand their perceptions of the incorporation of LMS into their courses. The results showed that personal factors such as motivation, load anxiety, and organizational support play important roles in the perception of the usefulness of LMS among IT faculty members. These findings suggest adding these constructs in order to extend the Technology acceptance model (TAM) for LMS acceptance, which can help stakeholders of the university to implement the use of this system. This may assist in planning and evaluating the use of e-learning.

Investigating IT Faculty Resistance to Learning Management System Adoption Using Latent Variables in an Acceptance Technology Model

PubMed Central

Bousbahi, Fatiha; Alrazgan, Muna Saleh

2015-01-01

To enhance instruction in higher education, many universities in the Middle East have chosen to introduce learning management systems (LMS) to their institutions. However, this new educational technology is not being used at its full potential and faces resistance from faculty members. To investigate this phenomenon, we conducted an empirical research study to uncover factors influencing faculty members' acceptance of LMS. Thus, in the Fall semester of 2014, Information Technology faculty members were surveyed to better understand their perceptions of the incorporation of LMS into their courses. The results showed that personal factors such as motivation, load anxiety, and organizational support play important roles in the perception of the usefulness of LMS among IT faculty members. These findings suggest adding these constructs in order to extend the Technology acceptance model (TAM) for LMS acceptance, which can help stakeholders of the university to implement the use of this system. This may assist in planning and evaluating the use of e-learning. PMID:26491712

Technology acceptance perception for promotion of sustainable consumption.

PubMed

Biswas, Aindrila; Roy, Mousumi

2018-03-01

Economic growth in the past decades has resulted in change in consumption pattern and emergence of tech-savvy generation with unprecedented increase in the usage of social network technology. In this paper, the technology acceptance value gap adapted from the technology acceptance model has been applied as a tool supporting social network technology usage and subsequent promotion of sustainable consumption. The data generated through the use of structured questionnaires have been analyzed using structural equation modeling. The validity of the model and path estimates signifies the robustness of Technology Acceptance value gap in adjudicating the efficiency of social network technology usage in augmentation of sustainable consumption and awareness. The results indicate that subjective norm gap, ease-of-operation gap, and quality of green information gap have the most adversarial impact on social network technology usage. Eventually social networking technology usage has been identified as a significant antecedent of sustainable consumption.

Modeling aspects of human memory for scientific study.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Caudell, Thomas P.; Watson, Patrick; McDaniel, Mark A.

Working with leading experts in the field of cognitive neuroscience and computational intelligence, SNL has developed a computational architecture that represents neurocognitive mechanisms associated with how humans remember experiences in their past. The architecture represents how knowledge is organized and updated through information from individual experiences (episodes) via the cortical-hippocampal declarative memory system. We compared the simulated behavioral characteristics with those of humans measured under well established experimental standards, controlling for unmodeled aspects of human processing, such as perception. We used this knowledge to create robust simulations of & human memory behaviors that should help move the scientific community closermore » to understanding how humans remember information. These behaviors were experimentally validated against actual human subjects, which was published. An important outcome of the validation process will be the joining of specific experimental testing procedures from the field of neuroscience with computational representations from the field of cognitive modeling and simulation.« less

Promoting Science Learning and Scientific Identification through Contemporary Scientific Investigations

NASA Astrophysics Data System (ADS)

Van Horne, Katie

tools and means of contemporary scientific inquiry allows them to gain conceptual development and proficiency with the scientific practices within the contexts of their lives, in ways that provided access to resources that promoted students' stabilization of practice-linked identities. For teachers implementing this instructional model in their classrooms, it brought up dilemmas and opportunities related to their school contexts and their personal history of instructional practices. The work collectively informs how interest-driven project-based science instruction can happen across a range of school contexts and how such models can support meaningful science learning and identification.

Modeling and analysis of hybrid pixel detector deficiencies for scientific applications

NASA Astrophysics Data System (ADS)

Fahim, Farah; Deptuch, Grzegorz W.; Hoff, James R.; Mohseni, Hooman

2015-08-01

Semiconductor hybrid pixel detectors often consist of a pixellated sensor layer bump bonded to a matching pixelated readout integrated circuit (ROIC). The sensor can range from high resistivity Si to III-V materials, whereas a Si CMOS process is typically used to manufacture the ROIC. Independent, device physics and electronic design automation (EDA) tools are used to determine sensor characteristics and verify functional performance of ROICs respectively with significantly different solvers. Some physics solvers provide the capability of transferring data to the EDA tool. However, single pixel transient simulations are either not feasible due to convergence difficulties or are prohibitively long. A simplified sensor model, which includes a current pulse in parallel with detector equivalent capacitor, is often used; even then, spice type top-level (entire array) simulations range from days to weeks. In order to analyze detector deficiencies for a particular scientific application, accurately defined transient behavioral models of all the functional blocks are required. Furthermore, various simulations, such as transient, noise, Monte Carlo, inter-pixel effects, etc. of the entire array need to be performed within a reasonable time frame without trading off accuracy. The sensor and the analog front-end can be modeling using a real number modeling language, as complex mathematical functions or detailed data can be saved to text files, for further top-level digital simulations. Parasitically aware digital timing is extracted in a standard delay format (sdf) from the pixel digital back-end layout as well as the periphery of the ROIC. For any given input, detector level worst-case and best-case simulations are performed using a Verilog simulation environment to determine the output. Each top-level transient simulation takes no more than 10-15 minutes. The impact of changing key parameters such as sensor Poissonian shot noise, analog front-end bandwidth, jitter due to

Automatically quantifying the scientific quality and sensationalism of news records mentioning pandemics: validating a maximum entropy machine-learning model.

PubMed

Hoffman, Steven J; Justicz, Victoria

2016-07-01

To develop and validate a method for automatically quantifying the scientific quality and sensationalism of individual news records. After retrieving 163,433 news records mentioning the Severe Acute Respiratory Syndrome (SARS) and H1N1 pandemics, a maximum entropy model for inductive machine learning was used to identify relationships among 500 randomly sampled news records that correlated with systematic human assessments of their scientific quality and sensationalism. These relationships were then computationally applied to automatically classify 10,000 additional randomly sampled news records. The model was validated by randomly sampling 200 records and comparing human assessments of them to the computer assessments. The computer model correctly assessed the relevance of 86% of news records, the quality of 65% of records, and the sensationalism of 73% of records, as compared to human assessments. Overall, the scientific quality of SARS and H1N1 news media coverage had potentially important shortcomings, but coverage was not too sensationalizing. Coverage slightly improved between the two pandemics. Automated methods can evaluate news records faster, cheaper, and possibly better than humans. The specific procedure implemented in this study can at the very least identify subsets of news records that are far more likely to have particular scientific and discursive qualities. Copyright © 2016 Elsevier Inc. All rights reserved.

Students' Evaluation of the Credibility of Scientific Models that Represent Natural Entities and Phenomena

ERIC Educational Resources Information Center

Al-Balushi, Sulaiman M.

2011-01-01

The purpose of the current study was to explore learners' evaluation of the credibility of scientific models that represent natural entities and phenomena. Participants were 845 students in grades 9-11 (aged 15-17 years) and 108 prospective science teachers in Oman, totaling 953 students. A survey called Epistemologies about the Credibility of…

Religiosity, Religious Acceptance, Social Interaction, and Satisfaction with University Experience

ERIC Educational Resources Information Center

Mohebpour, Ida; Reysen, Stephen; Gibson, Shonda; Hendricks, LaVelle

2017-01-01

We tested a mediated moderation model with the interaction of students' degree of religiosity and perception of the university environment as accepting of one's religion predicting satisfaction with the university mediated by positive social relations. When the university was perceived as accepting of one's religion (vs less accepting), greater…

Investigating Students' Usage and Acceptance of Electronic Books

ERIC Educational Resources Information Center

Sieche, Susan; Krey, Birte; Bastiaens, Theo

2013-01-01

The purpose of this study is to investigate students' usage and acceptance of electronic books. Factors correlating with students' attitude towards e-books were examined using the Technology Acceptance Model (Davis, Bagozzi, & Warshaw 1989). A questionnaire was administered online for students at University of Hagen. Results indicate that…

Authorship in scientific publications: analysis and recommendations.

PubMed

Hess, Christian W; Brückner, Christian; Kaiser, Tony; Mauron, Alex; Wahli, Walter; Wenzel, Uwe Justus; Salathé, Michelle

2015-01-01

In 2008, a Swiss Academies of Arts and Sciences working group chaired by Professor Emilio Bossi issued a "Memorandum on scientific integrity and the handling of misconduct in the scientific context", together with a paper setting out principles and procedures concerning integrity in scientific research. In the Memorandum, unjustified claims of authorship in scientific publications are referred to as a form of scientific misconduct - a view widely shared in other countries. In the Principles and Procedures, the main criteria for legitimate authorship are specified, as well as the associated responsibilities. It is in fact not uncommon for disputes about authorship to arise with regard to publications in fields where research is generally conducted by teams rather than individuals. Such disputes may concern not only the question who is or is not to be listed as an author but also, frequently, the precise sequence of names, if the list is to reflect the various authors' roles and contributions. Subjective assessments of the contributions made by the individual members of a research group may differ substantially. As scientific collaboration - often across national boundaries - is now increasingly common, ensuring appropriate recognition of all parties is a complex matter and, where disagreements arise, it may not be easy to reach a consensus. In addition, customs have changed over the past few decades; for example, the practice of granting "honorary" authorship to an eminent researcher - formerly not unusual - is no longer considered acceptable. It should be borne in mind that the publications list has become by far the most important indicator of a researcher's scientific performance; for this reason, appropriate authorship credit has become a decisive factor in the careers of young researchers, and it needs to be managed and protected accordingly. At the international and national level, certain practices have therefore developed concerning the listing of authors

Testing the Electronic Personal Health Record Acceptance Model by Nurses for Managing Their Own Health: A Cross-sectional Survey.

PubMed

Gartrell, K; Trinkoff, A M; Storr, C L; Wilson, M L; Gurses, A P

2015-01-01

To our knowledge, no evidence is available on health care professionals' use of electronic personal health records (ePHRs) for their health management. We therefore focused on nurses' personal use of ePHRs using a modified technology acceptance model. To examine (1) the psychometric properties of the ePHR acceptance model, (2) the associations of perceived usefulness, ease of use, data privacy and security protection, and perception of self as health-promoting role models to nurses' own ePHR use, and (3) the moderating influences of age, chronic illness and medication use, and providers' use of electronic health record (EHRs) on the associations between the ePHR acceptance constructs and ePHR use. A convenience sample of registered nurses, those working in one of 12 hospitals in the Maryland and Washington, DC areas and members of the nursing informatics community (AMIA and HIMSS), were invited to respond to an anonymous online survey; 847 responded. Multiple logistic regression identified associations between the model constructs and ePHR use, and the moderating effect. Overall, ePHRs were used by 47%. Sufficient reliability for all scales was found. Three constructs were significantly related to nurses' own ePHR use after adjusting for covariates: usefulness, data privacy and security protection, and health-promoting role model. Nurses with providers that used EHRs who perceived a higher level of data privacy and security protection had greater odds of ePHR use than those whose providers did not use EHRs. Older nurses with a higher self-perception as health-promoting role models had greater odds of ePHR use than younger nurses. Nurses who use ePHRs for their personal health might promote adoption by the general public by serving as health-promoting role models. They can contribute to improvements in patient education and ePHR design, and serve as crucial resources when working with their individual patients.

Scientific habits of mind: A reform of structure and relationships

NASA Astrophysics Data System (ADS)

Mooney, Linda Beth

This research was designed to broaden current elementary science reform efforts by including the voices of our young scientists. Ten high school students who were defined as possessing both coherent science knowledge and scientific habits of mind were selected for the study. Through a three-part series of in-depth, phenomenological interviews, these students revealed early childhood experiences from birth through age ten to which they attributed their development of science knowledge and scientific habits of mind. Educational connoisseurship and criticism provided the framework through which the experiences were analyzed. The research revealed the overwhelming role of scientific habits of mind in the current success of these young scientists. Scientific habits of mind were developed through the structures and relationships in the home. Parents of the participants provided a non-authoritarian, fun, playful, tolerant atmosphere in which messes and experimentation were the norm. Large blocks of uninterrupted, unstructured time and space that "belonged" to the child allowed these children to follow where curiosity led. Frequently, the parent modeled scientific habits of mind. Good discipline in the minds of these families had nothing to do with punishments, rewards, or rules. The parents gave the children responsibilities, "free rein," and their trust, and the children blossomed in that trust and mutual respect. Parents recognized and supported the uniqueness, autonomy, interests, and emotions of the child. Above all, the young scientists valued the time, freedom, patience, and emotional support provided by their parents. For girls, construction toys, hot wheels, sand boxes, and outdoor experiences were particularly important. Art classes, free access to art media, sewing, music, and physical activity facilitated observational skills and spatial relationship development. The girls knew that doing traditionally masculine and feminine activities were acceptable and

Educational Technology Acceptance across Cultures: A Validation of the Unified Theory of Acceptance and Use of Technology in the Context of Turkish National Culture

ERIC Educational Resources Information Center

Gogus, Aytac; Nistor, Nicolae; Riley, Richard W.; Lerche, Thomas

2012-01-01

The Unified Theory of Acceptance and Use of Technology (UTAUT; Venkatesh et al., 2003, 2012) proposes a major model of educational technology acceptance (ETA) which has been yet validated only in few languages and cultures. Therefore, this study aims at extending the applicability of UTAUT to Turkish culture. Based on acceptance and cultural data…

Idea Paper: The Lifecycle of Software for Scientific Simulations

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dubey, Anshu; McInnes, Lois C.

The software lifecycle is a well researched topic that has produced many models to meet the needs of different types of software projects. However, one class of projects, software development for scientific computing, has received relatively little attention from lifecycle researchers. In particular, software for end-to-end computations for obtaining scientific results has received few lifecycle proposals and no formalization of a development model. An examination of development approaches employed by the teams implementing large multicomponent codes reveals a great deal of similarity in their strategies. This idea paper formalizes these related approaches into a lifecycle model for end-to-end scientific applicationmore » software, featuring loose coupling between submodels for development of infrastructure and scientific capability. We also invite input from stakeholders to converge on a model that captures the complexity of this development processes and provides needed lifecycle guidance to the scientific software community.« less

Development of a prediction model on the acceptance of electronic laboratory notebooks in academic environments.

PubMed

Kloeckner, Frederik; Farkas, Robert; Franken, Tobias; Schmitz-Rode, Thomas

2014-04-01

Documentation of research data plays a key role in the biomedical engineering innovation processes. It makes an important contribution to the protection of intellectual property, the traceability of results and fulfilling the regulatory requirement. Because of the increasing digitalization in laboratories, an electronic alternative to the commonly-used paper-bound notebooks could contribute to the production of sophisticated documentation. However, compared to in an industrial environment, the use of electronic laboratory notebooks is not widespread in academic laboratories. Little is known about the acceptance of an electronic documentation system and the underlying reasons for this. Thus, this paper aims to establish a prediction model on the potential preference and acceptance of scientists either for paper-based or electronic documentation. The underlying data for the analysis originate from an online survey of 101 scientists in industrial, academic and clinical environments. Various parameters were analyzed to identify crucial factors for the system preference using binary logistic regression. The analysis showed significant dependency between the documentation system preference and the supposed workload associated with the documentation system (p<0.006; odds ratio=58.543) and an additional personal component. Because of the dependency of system choice on specific parameters it is possible to predict the acceptance of an electronic laboratory notebook before implementation.

Relationships between Scientific Process Skills and Scientific Creativity: Mediating Role of Nature of Science Knowledge

ERIC Educational Resources Information Center

Ozdemir, Gokhan; Dikici, Ayhan

2017-01-01

The purpose of this study is to explore the strength of relationships between 7th grade students' Scientific Process Skills (SPS), Nature of Science (NOS) beliefs, and Scientific Creativity (SC) through Structural Equation Modeling (SEM). For this purpose, data were collected from 332 students of two public middle school students in Turkey. SPS,…

A framework to build scientific confidence in read across results. (SOT CE course presentation)

EPA Science Inventory

Read-across acceptance is remains a major hurdle primarily due to the lack of objectivity and clarity on how to practically address uncertainties. One avenue that can be exploited to build scientific confidence in the development and evaluation of read-across is by taking advant...

Factors influencing nurses' acceptance of hospital information systems in Iran: application of the Unified Theory of Acceptance and Use of Technology.

PubMed

Sharifian, Roxana; Askarian, Fatemeh; Nematolahi, Mohtaram; Farhadi, Payam

User acceptance is a precondition for successful implementation of hospital information systems (HISs). Increasing investment in information technology by healthcare organisations internationally has made user acceptance an important issue in technology implementation and management. Despite the increased focus on hospital information systems, there continues to be user resistance. The present study aimed to investigate the factors affecting hospital information systems nurse-user acceptance of HISs, based on the Unified Theory of Acceptance and Use of Technology (UTAUT), in the Shiraz University of Medical Sciences teaching hospitals. A descriptive-analytical research design was employed to study nurses' adoption and use of HISs. Data collection was undertaken using a cross-sectional survey of nurses (n=303). The research model was examined using the LISREL path confirmatory modeling. The results demonstrated that the nurses' behavioural intention (BI) to use hospital information systems was predicted by Performance Expectancy (PE) (β= 2.34, p<0.01), Effort Expectancy (EE) (β= 2.21, p<0.01), Social Influence (SI) (β= 2.63, p<0.01) and Facilitating Conditions (FC) (β= 2.84, p<0.01). The effects of these antecedents of BI explained 72.8% of the variance in nurses' intention to use hospital information systems (R2 = 0.728). Application of the research model suggested that nurses' acceptance of HISs was influenced by performance expectancy, effort expectancy, social influence and facilitating conditions, with performance expectancy having the strongest effect on user intention.

Questioning the Evidence for a Claim in a Socio-Scientific Issue: An Aspect of Scientific Literacy

ERIC Educational Resources Information Center

Roberts, Ros; Gott, Richard

2010-01-01

Understanding the science in a "socio-scientific issue" is at the heart of the varied definitions of "scientific literacy". Many consider that understanding evidence is necessary to participate in decision making and to challenge the science that affects people's lives. A model is described that links practical work,…

Faculty Perceptions about Teaching Online: Exploring the Literature Using the Technology Acceptance Model as an Organizing Framework

ERIC Educational Resources Information Center

Wingo, Nancy Pope; Ivankova, Nataliya V.; Moss, Jacqueline A.

2017-01-01

Academic leaders can better implement institutional strategic plans to promote online programs if they understand faculty perceptions about teaching online. An extended version of a model for technology acceptance, or TAM2 (Venkatesh & Davis, 2000), provided a framework for surveying and organizing the research literature about factors that…

The Technology Acceptance Model for Resource-Limited Settings (TAM-RLS): A Novel Framework for Mobile Health Interventions Targeted to Low-Literacy End-Users in Resource-Limited Settings.

PubMed

Campbell, Jeffrey I; Aturinda, Isaac; Mwesigwa, Evans; Burns, Bridget; Santorino, Data; Haberer, Jessica E; Bangsberg, David R; Holden, Richard J; Ware, Norma C; Siedner, Mark J

2017-11-01

Although mobile health (mHealth) technologies have shown promise in improving clinical care in resource-limited settings (RLS), they are infrequently brought to scale. One limitation to the success of many mHealth interventions is inattention to end-user acceptability, which is an important predictor of technology adoption. We conducted in-depth interviews with 43 people living with HIV in rural Uganda who had participated in a clinical trial of a short messaging system (SMS)-based intervention designed to prompt return to clinic after an abnormal laboratory test. Interviews focused on established features of technology acceptance models, including perceived ease of use and perceived usefulness, and included open-ended questions to gain insight into unexplored issues related to the intervention's acceptability. We used conventional (inductive) and direct content analysis to derive categories describing use behaviors and acceptability. Interviews guided development of a proposed conceptual framework, the technology acceptance model for resource-limited settings (TAM-RLS). This framework incorporates both classic technology acceptance model categories as well as novel factors affecting use in this setting. Participants described how SMS message language, phone characteristics, and experience with similar technologies contributed to the system's ease of use. Perceived usefulness was shaped by the perception that the system led to augmented HIV care services and improved access to social support from family and colleagues. Emergent themes specifically related to mHealth acceptance among PLWH in Uganda included (1) the importance of confidentiality, disclosure, and stigma, and (2) the barriers and facilitators downstream from the intervention that impacted achievement of the system's target outcome. The TAM-RLS is a proposed model of mHealth technology acceptance based upon end-user experiences in rural Uganda. Although the proposed model requires validation, the TAM

Analyzing Ocean Tracks: A model for student engagement in authentic scientific practices using data

NASA Astrophysics Data System (ADS)

Krumhansl, K.; Krumhansl, R.; Brown, C.; DeLisi, J.; Kochevar, R.; Sickler, J.; Busey, A.; Mueller-Northcott, J.; Block, B.

2013-12-01

The collection of large quantities of scientific data has not only transformed science, but holds the potential to transform teaching and learning by engaging students in authentic scientific work. Furthermore, it has become imperative in a data-rich world that students gain competency in working with and interpreting data. The Next Generation Science Standards reflect both the opportunity and need for greater integration of data in science education, and emphasize that both scientific knowledge and practice are essential elements of science learning. The process of enabling access by novice learners to data collected and used by experts poses significant challenges, however, recent research has demonstrated that barriers to student learning with data can be overcome by the careful design of data access and analysis tools that are specifically tailored to students. A group of educators at Education Development Center, Inc. (EDC) and scientists at Stanford University's Hopkins Marine Station are collaborating to develop and test a model for student engagement with scientific data using a web-based platform. This model, called Ocean Tracks: Investigating Marine Migrations in a Changing Ocean, provides students with the ability to plot and analyze tracks of migrating marine animals collected through the Tagging of Pacific Predators program. The interface and associated curriculum support students in identifying relationships between animal behavior and physical oceanographic variables (e.g. SST, chlorophyll, currents), making linkages between the living world and climate. Students are also supported in investigating possible sources of human impact to important biodiversity hotspots in the Pacific Ocean. The first round of classroom testing revealed that students were able to easily access and display data on the interface, and collect measurements from the animal tracks and oceanographic data layers. They were able to link multiple types of data to draw powerful

Technology Acceptance of Electronic Medical Records by Nurses

ERIC Educational Resources Information Center

Stocker, Gary

2010-01-01

The purpose of this study was to evaluate the Technology Acceptance Model's (TAM) relevance of the intention of nurses to use electronic medical records in acute health care settings. The basic technology acceptance research of Davis (1989) was applied to the specific technology tool of electronic medical records (EMR) in a specific setting…

Using a modified technology acceptance model to evaluate healthcare professionals' adoption of a new telemonitoring system.

PubMed

Gagnon, Marie Pierre; Orruño, Estibalitz; Asua, José; Abdeljelil, Anis Ben; Emparanza, José

2012-01-01

To examine the factors that could influence the decision of healthcare professionals to use a telemonitoring system. A questionnaire, based on the Technology Acceptance Model (TAM), was developed. A panel of experts in technology assessment evaluated the face and content validity of the instrument. Two hundred and thirty-four questionnaires were distributed among nurses and doctors of the cardiology, pulmonology, and internal medicine departments of a tertiary hospital. Cronbach alpha was calculated to measure the internal consistency of the questionnaire items. Construct validity was evaluated using interitem correlation analysis. Logistic regression analysis was performed to test the theoretical model. Adjusted odds ratios (ORs) and their 95% confidence intervals (CIs) were computed. A response rate of 39.7% was achieved. With the exception of one theoretical construct (Habit) that corresponds to behaviors that become automatized, Cronbach alpha values were acceptably high for the remaining constructs. Theoretical variables were well correlated with each other and with the dependent variable. The original TAM was good at predicting telemonitoring usage intention, Perceived Usefulness being the only significant predictor (OR: 5.28, 95% CI: 2.12-13.11). The model was still significant and more powerful when the other theoretical variables were added. However, the only significant predictor in the modified model was Facilitators (OR: 4.96, 95% CI: 1.59-15.55). The TAM is a good predictive model of healthcare professionals' intention to use telemonitoring. However, the perception of facilitators is the most important variable to consider for increasing doctors' and nurses' intention to use the new technology.

Engaging Undergraduate Biology Students in Scientific Modeling: Analysis of Group Interactions, Sense-Making, and Justification

ERIC Educational Resources Information Center

Bierema, Andrea M.-K.; Schwarz, Christina V.; Stoltzfus, Jon R.

2017-01-01

National calls for improving science education (e.g., "Vision and Change") emphasize the need to learn disciplinary core ideas through scientific practices. To address this need, we engaged small groups of students in developing diagrammatic models within two (one large-enrollment and one medium-enrollment) undergraduate introductory…

Religion and suicide acceptability: a cross-national analysis.

PubMed

Stack, Steven; Kposowa, Augustine J

2011-01-01

Four perspectives (moral community thesis, religious integration, religious commitment, and social networks) guide the selection of variables in this study. Data are from the combined World Values/European Values Surveys for 2000 (50,547 individuals nested in 56 nations). The results of a multivariate hierarchical linear model support all four perspectives. Persons residing in nations with relatively high levels of religiosity, who are affiliated with one of four major faiths, are religiously committed, and are engaged with a religious network are found to be lower in suicide acceptability. The religious integration perspective, in particular, is empirically supported; affiliation with Islam is associated with low suicide acceptability. The findings provide strong support for an integrated model and demonstrate the usefulness of the moral community thesis in understanding suicide acceptability.

Parental Perceptions and Recommendations of Computing Majors: A Technology Acceptance Model Approach

ERIC Educational Resources Information Center

Powell, Loreen; Wimmer, Hayden

2017-01-01

Currently, there are more technology related jobs then there are graduates in supply. The need to understand user acceptance of computing degrees is the first step in increasing enrollment in computing fields. Additionally, valid measurement scales for predicting user acceptance of Information Technology degree programs are required. The majority…

Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey.

PubMed

Tavares, Jorge; Oliveira, Tiago

2016-03-02

The future of health care delivery is becoming more citizen centered, as today's user is more active, better informed, and more demanding. Worldwide governments are promoting online health services, such as electronic health record (EHR) patient portals and, as a result, the deployment and use of these services. Overall, this makes the adoption of patient-accessible EHR portals an important field to study and understand. The aim of this study is to understand the factors that drive individuals to adopt EHR portals. We applied a new adoption model using, as a starting point, Ventkatesh's Unified Theory of Acceptance and Use of Technology in a consumer context (UTAUT2) by integrating a new construct specific to health care, a new moderator, and new relationships. To test the research model, we used the partial least squares (PLS) causal modelling approach. An online questionnaire was administrated. We collected 360 valid responses. The statistically significant drivers of behavioral intention are performance expectancy (beta=.200; t=3.619), effort expectancy (beta=.185; t=2.907), habit (beta=.388; t=7.320), and self-perception (beta=.098; t=2.285). The predictors of use behavior are habit (beta=0.206; t=2.752) and behavioral intention (beta=0.258; t=4.036). The model explained 49.7% of the variance in behavioral intention and 26.8% of the variance in use behavior. Our research helps to understand the desired technology characteristics of EHR portals. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt EHR portals or not. The inclusion of specific constructs and relationships related to the health care consumer area also had a significant impact on understanding the adoption of EHR portals.

Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey

PubMed Central

2016-01-01

Background The future of health care delivery is becoming more citizen centered, as today’s user is more active, better informed, and more demanding. Worldwide governments are promoting online health services, such as electronic health record (EHR) patient portals and, as a result, the deployment and use of these services. Overall, this makes the adoption of patient-accessible EHR portals an important field to study and understand. Objective The aim of this study is to understand the factors that drive individuals to adopt EHR portals. Methods We applied a new adoption model using, as a starting point, Ventkatesh's Unified Theory of Acceptance and Use of Technology in a consumer context (UTAUT2) by integrating a new construct specific to health care, a new moderator, and new relationships. To test the research model, we used the partial least squares (PLS) causal modelling approach. An online questionnaire was administrated. We collected 360 valid responses. Results The statistically significant drivers of behavioral intention are performance expectancy (beta=.200; t=3.619), effort expectancy (beta=.185; t=2.907), habit (beta=.388; t=7.320), and self-perception (beta=.098; t=2.285). The predictors of use behavior are habit (beta=0.206; t=2.752) and behavioral intention (beta=0.258; t=4.036). The model explained 49.7% of the variance in behavioral intention and 26.8% of the variance in use behavior. Conclusions Our research helps to understand the desired technology characteristics of EHR portals. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt EHR portals or not. The inclusion of specific constructs and relationships related to the health care consumer area also had a significant impact on understanding the adoption of EHR portals. PMID:26935646

Quantifying falsifiability of scientific theories

NASA Astrophysics Data System (ADS)

Nemenman, Ilya

I argue that the notion of falsifiability, a key concept in defining a valid scientific theory, can be quantified using Bayesian Model Selection, which is a standard tool in modern statistics. This relates falsifiability to the quantitative version of the statistical Occam's razor, and allows transforming some long-running arguments about validity of scientific theories from philosophical discussions to rigorous mathematical calculations.

A Study of Using Technology Acceptance Model and Its Effect on Improving Road Pavement Smoothness in Taiwan

ERIC Educational Resources Information Center

Huang, Long-Sheng; Huang, Chung-Fah

2017-01-01

Using the technology acceptance model (TAM) as its theoretical foundation, this study intends to explore the use of Travelling Beam devices in road engineerings in Taiwan and offer suggestions based on its findings to encourage industry willingness for device deployment resulting in improving road pavement smoothness in Taiwan. The study subjects…

A Quantitative Study of Faculty Perceptions and Attitudes on Asynchronous Virtual Teamwork Using the Technology Acceptance Model

ERIC Educational Resources Information Center

Wolusky, G. Anthony

2016-01-01

This quantitative study used a web-based questionnaire to assess the attitudes and perceptions of online and hybrid faculty towards student-centered asynchronous virtual teamwork (AVT) using the technology acceptance model (TAM) of Davis (1989). AVT is online student participation in a team approach to problem-solving culminating in a written…

Scientific Pedagogy Revisited.

ERIC Educational Resources Information Center

Loeffler, Margaret

1994-01-01

Examines the role of classroom-based research in relation to Montessori's thoughts about scientific pedagogy. Presents three models of on-site evaluation of pedagogical effectiveness that can be carried out by classroom teachers who work with children every day. (BB)

XVIS: Visualization for the Extreme-Scale Scientific-Computation Ecosystem Final Scientific/Technical Report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Geveci, Berk; Maynard, Robert

The XVis project brings together the key elements of research to enable scientific discovery at extreme scale. Scientific computing will no longer be purely about how fast computations can be performed. Energy constraints, processor changes, and I/O limitations necessitate significant changes in both the software applications used in scientific computation and the ways in which scientists use them. Components for modeling, simulation, analysis, and visualization must work together in a computational ecosystem, rather than working independently as they have in the past. The XVis project brought together collaborators from predominant DOE projects for visualization on accelerators and combining their respectivemore » features into a new visualization toolkit called VTK-m.« less

Ethical, Scientific, and Educational Concerns With Unproven Medications

PubMed Central

Pray, W. Steven

2006-01-01

Quackery (promotion of products that do not work or have not been proven to work) was once a commonly used term within the pharmacy and medical communities. However, an increasingly anti-scientific national climate culminated in passage of the 1994 Dietary Supplement Health and Education Act, which granted unprecedented legitimacy to “dietary supplements” that had not been scientifically proven to be effective and/or safe. In part, this was facilitated when professional pharmacy magazines and journals published advertisements and articles promoting these unproven medications. Gradually, pharmacy codes of ethics eliminated references to quackery, and some pharmacy organizations seemed to accept the unproven medications they once exhorted the pharmacist not to sell. The profession's shift in attitude toward unproven medications occurred as the medical community at large began to realize the value of evidence-based medicine. Academicians must resist pressure to present unproven therapies as realistic alternatives for medications with scientific proof of safety and efficacy. They must stress the value of evidence-based medicine and urge students and pharmacists to recommend only those medications with evidence-based proof of safety and efficacy. PMID:17332867

The Impact of Iranian Teachers Cultural Values on Computer Technology Acceptance

ERIC Educational Resources Information Center

Sadeghi, Karim; Saribagloo, Javad Amani; Aghdam, Samad Hanifepour; Mahmoudi, Hojjat

2014-01-01

This study was conducted with the aim of testing the technology acceptance model and the impact of Hofstede cultural values (masculinity/femininity, uncertainty avoidance, individualism/collectivism, and power distance) on computer technology acceptance among teachers at Urmia city (Iran) using the structural equation modeling approach. From among…

Science Teaching Reform through Professional Development: Teachers' Use of a Scientific Classroom Discourse Community Model

ERIC Educational Resources Information Center

Lewis, Elizabeth B.; Baker, Dale R.; Helding, Brandon A.

2015-01-01

This report outlines a 2-year investigation into how secondary science teachers used professional development (PD) to build scientific classroom discourse communities (SCDCs). Observation data, teacher, student, and school demographic information were used to build a hierarchical linear model. The length of time that teachers received PD was the…

Accounting for unprotected sex: stories of agency and acceptability.

PubMed

Rhodes, Tim; Cusick, Linda

2002-07-01

Based on the idea that risks are knowable, calculable and preventable, dominant social scientific and health promotion discourses foster an image of individual risk control and responsibility. The presentation of the self is a moral enterprise. Accounts of unprotected sex by HIV positive people who have the potential to transmit HIV to their sexual partners can be particularly morally charged. Drawing on 73 depth qualitative interviews with HIV positive people and their sexual partners, this paper explores how the interview accounts of unprotected sex can illuminate the way in which the self is presented within the context of situated norms of risk acceptability and moral responsibility. We identify two forms of account: stories of agency; and stories of acceptability. Stories of agency tend to deny agency and abdicate individual responsibility given the circumstances, and were also a key feature of accounts in which the sexual partners of HIV positive people were placed at risk of HIV transmission. Categories of appeal included the denial of agency as a consequence of: risk calculus and condom accidents; alcohol and drug effects; powerlessness and coercion; and forces of nature. By contrast, stories of acceptability tend to justify unprotected sex as acceptable. Categories of appeal included: HIV positive concordance; and commitment in relationships. Other forms of justification included: alter responsibility; and intentional HIV transmission. We conclude that accounts of risk management are risk managed. We call for greater attention by social scientists to the way in which accounts are constructed, and in particular, to 'anti-rational' forms of explanation within accounts.